div>At this time, we are unable to sponsor work visas for this position. $98,000 - $182,000 per year
Our goal is to pay a market competitive salary focusing near the median of our pay ranges.
Oversee architecture changes for all data ingestion solutions and provide technical advice on complex data mappings and transformations, including production support guidance, researching, and responding to security vulnerability findings, and working with multiple vendors and teams to leverage existing architecture components. - Facilitate the creation of architectures that consider how the current system interacts with other internal and external systems and environments and ensure that the new system behaves and performs correctly, including: prioritizing backlog projects and coordinating with system and network administration personnel on maintenance, upgrades, changes, and performance needs.
Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}. The ideal candidate brings deep technical expertise and systems thinking to architect modern data platforms, integrate AI workloads, and embed security controls-bridging strategy and execution to ensure enterprise data is leveraged safely, effectively, and at scale.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
p>THE PERKS & BENEFITS: • Wellness incentive programs to help you stay healthy physically and mentally • Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more • Free meals in our employee dining room • Free parking • Health & Income Protection benefits (for eligible employees) • Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community.
THE JOB:
The Principal DevOps & Data Enterprise Architect will define and lead the evolution of enterprise architecture across all Technology, Digital, and Data (TDD) domains, driving the shift from traditional COTS integration and governance toward agile, cloud-native, API-driven, and AI-enabled architectures.
CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). - Analyze data sources; partner with leaders across the organization to effectively research and recommend solutions which balance business need and risk mitigation.
THE DAY-TO-DAY: Define and execute a multi-year Marketing and Revenue Management data architecture roadmap aligned to commercial strategy, including lakehouse evolution, interoperability, governance, and observability. You will partner closely with executive leadership, commercial stakeholders, and technology teams to ensure our data platforms are resilient, governed, and built for the future.
li>Technical expert in at least one major data center domain (mechanical systems, thermal cooling, controls, integration, or systems architecture), with the ability to think across domains at the system level. This role directly enhances Daikin's competitive position by strengthening market credibility and customer trust with best‑in‑class technical engagement and increasing design wins through direct customer influence.
CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). By staying abreast of emerging security threats, technologies, and best practices, the IS Data Security Architect continuously enhances the organization''s security posture, serving as a crucial link between strategic objectives and technical execution in the protection of sensitive data.
Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise customers as a technical advisor, and the other half is spent on enabling CSG employees on Data 360 by providing technical expertise; documenting reference architecture; building reusable tools, assets, and patterns; assisting with enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements. Partner with customers and account teams to assess business challenges, identify high-impact use cases, define solution scope, develop detailed technical designs, and articulate the business value of proposed solutions to foster successful adoption and identify future opportunities.
We are seeking a skilled Architect to lead and support data center and industrial projects, with a strong emphasis on project management from design through construction administration. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. - Define and enforce test strategies for data migrations, including unit testing, data reconciliation testing, performance testing, and business validation.
Skills and Abilities Effective communication skills, including listening, verbal, written, and customer service Ability to clearly articulate policies and instructions Demonstrated progress in conveying appropriate level of detail effectively to all levels of the organization including non-technical staff Ability to recommend policies, document risks, and propose solutions to information technology management and senior leadership Possess a high degree of initiative and motivation Ability to effectively collaborate with coworkers, staff, and leaders across all departments Ability to learn, focus, understand, and evaluate information and determine appropriate actions Ability to accept direction and feedback, as well as tolerate and manage stress Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day Ability to hear and speak clearly for at least 3-6 hours/day. Knowledge Working knowledge/skills of Microsoft SQL Server Working knowledge of cloud data warehousing tools such as Snowflake or Redshift Working knowledge/skills of ETL tools, such as SSIS or Azure Data Factory Advanced troubleshooting of system performance issues and root cause Working knowledge/skills of unit and integration testing.
li>Define security requirements for MCP servers, proxy servers, and tool connectors, including authentication and authorization, least privilege, schema/input validation, secrets management, network isolation, sandboxing, logging and auditability, third-party server risk review. Architect and implement AI gateway controls that centralize security policy enforcement for model traffic, including prompt inspection, response filtering, PII/secret redaction, model access control, rate limiting / abuse prevention, audit logging and evidence generation.
p>You will partner closely with senior leadership, architects, data science, analytics, IT, and business stakeholders to design resilient, scalable, and trusted data systems that support real-time decisioning, advanced analytics, and AI/ML applications. THE DAY-TO-DAY:
Define the multi-year architectural vision for MGM's Lakehouse platform, including compute, storage, orchestration, semantic layers, governance, and reliability.
As the architectural owner of domain-wide data models and certified datasets, you will drive metric consistency, platform scalability, and business-aligned data solutions in close partnership with Data Science, Analytics, IT, and commercial leadership. THE JOB: We are seeking a Staff Commercial Data Engineer to architect and elevate the Marketing and Revenue Management data platforms that power commercial decision-making across Gaming, Hospitality, Loyalty, and Marketing.
This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization. Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. - Communicate complex technical concepts clearly to both technical and non-technical audiences, including executive leadership and external partners.
li>7+ years of professional experience within data protection and information security, which may include Data Discovery, Data Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security. Driving day-to-day engagement execution by communicating updates to clients and Deloitte leadership, supporting delivery teams, and tracking timelines to help achieve on-time and on-budget delivery.
Carson City, NV24 days ago
You will guide our transition from SQL Server to Snowflake, mentor engineers, establish engineering best practices, and collaborate closely with stakeholders to deliver reliable, enterprise grade data solutions. You will lead the creation of a unified ingestion framework into Snowflake-building scalable, repeatable, and high performance patterns that power analytics and data products across the organization.
Your Day-to-Day: The Senior Sales Engineer is the Technical Lead for the Proofpoint Pre-Sales process, including: • Drive high levels of customer satisfaction • Collaborate with the ATG Sales Specialists & Account Teams to develop and execute targeted account penetration strategies • Build trust and rapport with customers and prospects in person, and be their main technical point of contact throughout the process • Work closely with customers/prospects for technical discovery, as well as planning, execution and wrap up of Proof-of-Concept (POC) and Production Evaluations. How We Work: At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: • Bold in how we dream and innovate • Responsive to feedback, challenges and opportunities • Accountable for results and best in class outcomes • Visionary in future focused problem-solving • Exceptional in execution and impact.
5+ years of experience using SAP Data Services, BusinessObjects Data Services (BODS), or comparable extract, transform, and load tools to support SAP S/4HANA data extraction, transformation, validation, and loading, including migration strategy, data quality, mock conversions, reconciliation, and post-go-live stabilization. Join our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions.
p>As a Lead Microsoft AI&Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
p>At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
p>Careers Careers Skip navigation links home home Home Homework_outline work_outline Jobs Jobs noogler_hat noogler_hat Students Students google google How we work How we work handyman handyman How we hire How we hire person_outline person_outline Your career Your career help_outline Help link feedback Send feedback more_vert Help Send Feedback Sign in Careers Careers home Homework_outline Jobs expand_more noogler_hat Students expand_more google How we work expand_more handyman How we hire expand_more person_outline Your career expand_more job details arrow_back Back to jobs search Jobs search results 3815 jobs matched. arrow_back Back to jobs search Data Center Controls Engineer Advanced Technology Innovation share link Copy link email Email a friend corporate_fare Google place Reno NV USA Columbus OH USA 2 more 1 more bar_chart Mid Mid Experience driving progress solving problems and mentoring more junior team members deeper expertise and applied knowledge within relevant area.
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
We develop and run Apple's global real estate portfolio, lead all related capital construction projects, provide outstanding facilities and site services, develop and lead sustainability initiatives to reduce the environmental impact of all Apple facilities, including commute and renewable energy programs, and do everything we can to ensure the health and safety of all Apple personnel, facilities, and customers in our facilities around the world. The role requires close coordination with project partners from various teams including Real Estate, Legal, Design, EH&S (Environment Health and Safety), Energy, Construction, Network and Operations to bring our projects to fruition.
From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
li>Experience in electrical/mechanical infrastructure (e.g., switchyards, transformers, HV/MV distribution, cooling towers, chillers, gensets) or server hall infrastructure (e.g., rack power products, liquid cooling, ML infrastructure, TPUs, GPUs). Lead and support Business Reviews, providing leadership with clear, data-driven updates on preliminary, interim, and final NPI portfolio readiness.
Applyshare linkCopy linkemailEmail a friendMinimum qualificationsBachelors degree or equivalent practical experience.5 years of experience in program or project management.5 years of experience with technical teams responsible for project management engineering and construction of data centers or facilities.5 years of experience with electrical mechanical controls security monitoring fire safety networkingfiber server equipment systems or infrastructure. From software to hardware our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs Vertex AI for Google Cloud Google Global Networking Data Center operations systems research and much more.
From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Applyshare linkCopy linkemailEmail a friendinfo_outlineXNote By applying to this position you will have an opportunity to share your preferred working location from the following Reston VA USA Alameda CA USA New Albany OH USA The Dalles OR USA New York NY USA Pryor Creek OK 74361 USA Reno NV USA.Minimum qualificationsBachelors degree in a technical field or equivalent practical experience. You will partner with the Program Management Office PMO and Extended Reservation EXR teams and directly with Data Center Delivery and Engineering DCDE leadership internal partners internal stakeholders and vendors to ensure improvement initiatives are supported.
Las Vegas, Nevada11 days ago
p style="min-height:1.5em">We’re looking for a ConstructionData Center Project Engineer to provide technical and administrative support to the on-site Senior Project Manager and construction team. In this role, you will be the documentation and quality backbone of the build keeping RFIs moving, submittals on track, field quality verified against design intent, and closeout organized for a clean handover to Operations.
Working at the intersection of engineering, geoscience, and information technology, this role transforms complex subsurface and operational data into actionable insights that directly support project execution and strategic decision-making. This role is responsible for designing, building, and maintaining scalable data infrastructure that enables high-quality data collection, storage, integration, and analysis across all geothermal development and management lifecycles.
This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data becomes a defensible source of competitive advantage and a measurable driver of business value. Develop a multi-year data roadmap covering infrastructure, master data management, governance, and AI-aligned use-case sequencing, endorsed by the Executive Leadership Team and integrated into the broader AI transformation plan.
Carson City, Nevada30+ days ago
This role will work within a collaborative remote team, partnering with data engineers, analysts, and architects to assist in building reliable data workflows and integrations on an agile cycle while gaining hands-on experience in cloud-based data engineering and supporting Stride's mission to empower online education for students across the United States. Coursework or project experience involving data pipelines, APIs, or cloud-based data tools; Familiarity with version control systems such as Git; Exposure to data warehousing concepts (e.g., Snowflake, Redshift, BigQuery); Interest in education technology and data-driven solutions.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.
ul>Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
Las Vegas, NV30+ days ago
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools. This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.
From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving team behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
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p>5-7 years of solution architecture experience: creating solution architecture and high-level design documents, solution decomposition into domains, API design, creating epics and stories for developers, managing implementation team. SQL Server, PostgreSQL, MySQL, Redis, MongoDB), procedural and object-oriented development Strong proficiency in Kafka message queue Good understanding of DevOps processes and CI/CD tools.