Technical Solutions Architect, Internal Enterprise Product Strategy

Google LLC

Austin, TX

JOB DETAILS
SKILLS
Advertising, Android, Artificial Intelligence (AI), Blueprints, Business Operations, Business Skills, Cloud Computing, Commodity Management, Computer Firmware, Consulting, Cross-Functional, Data Analysis, Design Patterns Programming Methodologies, Disk Management, Distributed Computing, Embedded Systems, Emerging Technology, English Language, Enterprise Architecture, Environmental Protection Agency (EPA), Equal Employment Opportunity (EEO), Equipment Maintenance/Repair, Establish Priorities, Facilities Management, Genetics, Hard Drives, Hyperion Pillar, Industry/Trade Analysis, Information/Data Security (InfoSec), Leading Edge Technology, Machine Learning, Machine Tool, Machining Operations, Manufacturing, Modeling Languages, Network Operations Center, Online Advertising, Organizational Skills, Product Management, Product Strategy, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Sales, Sales Management, Sample Design, Software Development, Software Engineering, Stock Purchase Plans, Structural Engineering, Tape Backup, Team Lead/Manager, Technical Consulting, Technical Leadership, Technical Support, Test Data, Test Design, Writing Skills
LOCATION
Austin, TX
POSTED
5 days ago

Technical Solutions Architect, Internal Enterprise Product Strategy - Google Careers

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Technical Solutions Architect, Internal Enterprise Product Strategy

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corporate_fareGoogleplaceAustin, TX, USA; New York, NY, USA; +2 more; +1 more

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; San Jose, CA, USA.

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.

  • 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.

  • Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.

  • Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).

Preferred qualifications:

  • Experience developing data and product strategies across a portfolio of internal systems within a complex, large-scale enterprise.
  • Knowledge of modern data tooling, cloud-native data services, machine learning operations frameworks, and large language models (LLM) orchestration patterns.
  • Excellent organizational, investigative and influencing skills.

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google"s online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google"s partnerships, as well as develop product strategy and prioritize projects and resources.

We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.

You will be responsible for authoring the core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions. This is an impact-driven role focused heavily on execution and enablement; you will work with technical leads and engineering squads across all Corporate Engineering pillars to advocate modern data architecture, unblock complex technical hurdles, and directly drive the active adoption of enterprise AI standards.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Author Core Blueprints and Standardize AI Patterns.
  • Drive Adoption and Cross-Pillar Enablement.
  • Collaborate with Environmental Protection Agency Peers.
  • Evaluate Industry Trends and Upskill Engineering Teams.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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