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.
Operating as a critical subject matter expert within the central Enterprise Product Architecture team, this leader will act as the strategic and technical anchor for our Enterprise Architecture governance and cross-pillar rationalization strategies. You will advocate the enterprise-wide introduction and adoption of Process Mining, establishing the horizontal frameworks, methodologies, and tooling needed to unlock data-driven workflow optimization across Corporate Engineering.
You will also standardize architectural frameworks, actively drive EAB (Enterprise Architecture Board) decision-making and gate-review processes, and establish our Master EA Catalog. You will author core reference architectures and blueprints including domains like Data and AI. Working closely with technical leads and engineering squads across all pillars, you will centralize technical artifacts, unblock architectural dependencies, and directly orchestrate rationalization strategies to simplify and optimize our enterprise landscape.
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
- Support enterprise governance, decision-making, and gate reviews as a member of the Enterprise Architecture Board, integrating Enterprise Architecture (EA) governance into the SDLC and annual planning cycles while guiding cross-pillar rationalization strategies and Application Portfolio Management.
- Drive the establishment, curation, and Guide the establishment, curation, and centralization of core architecture diagrams, technical baselines, and reference artifacts across the organization. support the design, development, and maintenance of reference architectures, blueprints, and roadmaps—defining core architectures across domains, including Data and AI.
- Drive the standardization of governance frameworks to ensure technical compliance, consistency, and alignment across all engineering pillars.
- Scale process mapping and process mining horizontally, using transactional workflows and event logs to drive data-driven process redesign and measure business outcomes.
- Partner with pillar technical leads to provide architectural consultation, aligning localized designs with the broader enterprise strategy.
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 with modern system design patterns (e.g., microservices, event-driven architectures, Zero Trust security models, cloud-native scalability) and their integration with large-scale enterprise portfolios.
- Experience developing architectural strategies across a portfolio of internal systems within a complex, highly regulated global organization of large-scale.
- Demonstrated ability to operate effectively within an established central enterprise architecture function, balancing individual pillar delivery and velocity with shared enterprise goals.
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.