div>Welcome to Whataburger Careers! In this role, you’ll have strong collaboration with leadership, across cross-functional teams, and with external partners to align capabilities with restaurant realities.
Technology Selection: Develop product short-lists and evaluation criteria for selecting data architecture components, such as data warehousing solutions, Big Data platforms (e.g., Hadoop, Spark, Kafka), and database technologies (SQL/NoSQL). This role is responsible for the design, governance, and technical oversight of the enterprise data architecture, ensuring that data systems are scalable, secure, compliant, and aligned with core business needs.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest. Full time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.
Dallas, Texas30+ days ago
Mentor and support colleagues in multi-disciplinary teams, promoting best practices in data architecture and design.
Required Skills and Experience:
Technical:
Advanced experience in designing and implementing data models (Star Schema, Snowflake, etc.).
Expertise in a wide variety of database technologies, including relational (SQL) and NoSQL platforms, and Big Data technologies.
Demonstrated ability to architect scalable, high-performance data warehousing and data lake solutions on major cloud platforms (e.g., AWS, Azure, GCP).
Strong understanding of ETL/ELT tools, data integration strategies, and advanced data processing techniques.
Professional:
Communication: Excellent verbal and written communication skills with the ability to translate complex technical information and language into simple, accessible terms for non-technical stakeholders.
Leadership: This person should have deep expertise in modern data architecture patterns and the ability to articulate a clear, forward-looking vision.
The Senior Data Architect delivers the data vision and strategy for the organization, as defined by the Chief Data Architect (or equivalent leadership).
You will be responsible for the design, implementation, and maintenance of the PM2PA data environment - including integration points with our on-premises Oracle EBS system, multiple custom applications and various data sources (including the Stantec Data Store (SDS), a centralized data store with the ability to serve EBS data to consuming applications, and replicate updates back into EBS from those applications). As a key technical leader, the Senior Data Architect will collaborate with a cross-functional team to align data solutions with PM2PA business objectives, and act as a strategic advisor on leveraging Oracle EBS, various data repositories (e.g., SDS) and potentially cloud technologies to meet the needs of this strategic project.
San Antonio, TX30 days ago
In this role, you'll have strong collaboration with leadership, across cross-functional teams, and with external partners to align capabilities with restaurant realities. Whataburger isn't just a fast-food burger chain it is where bold leadership starts - and where potential doesn't just grow, it heats up.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
Lead architecture assessments, develop target-state designs, and provide strategic guidance on cloud platforms, data governance, integration patterns, and data modernization efforts. Job Summary/Company: Our client is seeking a Data Architect to design scalable, AI-ready data platforms that support analytics, machine learning, and enterprise modernization initiatives.
Experience in pre-sales activities, including scoping and estimation of projects, and presenting solutions to clients. • Strong knowledge of data technologies, including Snowflake, Databricks, Spark, Hadoop, and other big data tools.
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 Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise; documenting reference architecture; building reusable tools, assets, and patterns; running live 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 Agentforce 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.
Dallas, Texas30+ days ago
div class="account_description">Vytwo Technologies is a global leader in enterprise application integration, delivering end-to-end IT consulting and business services for mid to large-scale organizations.
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We offer a comprehensive suite of solutions including business and technology consulting, Cloud,e-business and digital transformation services, system integration, custom application development, re-engineering, and long-term application support.
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Fort Worth, TX30+ days ago
This role designs authoritative data models, establishes platform wide data patterns, and ensures data quality, governance, and performance across analytical, operational, and integration workloads. Education and Experience Requirements:
- Bachelor's degree in Information Systems, Computer Science or Engineering with 7-10+ years of IT experience, including 3-5+ years in data architecture or senior data engineering roles is preferred.
In this role, a data architect (manufacturing/engineering) will be responsible for working in partnership with the Principle Data Architect, IT value stream groups, and business partners to identify opportunities to enhance data delivery across the enterprise. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.
Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers. Q4: Do you have experience in integrating Caelum or Amundsen push-events with DataHub's Actions Framework to drive real-time data quality orchestration or automated schema rollbacks?.
Leverages SAP Business Data Cloud, Datasphere, MDG and related capabilities to unify data and eliminate duplicate data copies. · Produces reference data architectures by leveraging expert input from application, analytics, integration, platform, and security teams.
If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here.
Sugar Land, TX30+ days ago
This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making. The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals.