Technical Solutions Architect, Internal Enterprise Product Strategy

Technical Solutions Architect, Internal Enterprise Product Strategy

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.

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.

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.

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.

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.

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.