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X Note: 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 jobAs 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.
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.
