Technical Solutions Architect, Internal Enterprise Product 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.

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
• [https://www.google.com/about/careers/applications/benefits/].
• RESPONSIBILITIES:
• * Partner closely with other enterprise architects to ensure data and AI
• standards seamlessly integrate with broader enterprise platforms,
• applications, and core infrastructure.
• * Collaborate with pillar leads and engineering teams to embed established data
• and AI reference patterns into their localized system designs. Lead technical
• forums, architecture deep-dives, and workshops to elevate data engineering
• and AI competencies.
• * Review data and AI proposals, proactively identifying architectural
• fragmentation, and mitigating security threats or technical debt. Serve as
• the technical bridge between centralized AI infrastructure and distributed
• pillar squads, unblocking architectural dependencies and driving execution.
• * Define architectural guidelines that ensure robust data privacy, compliance,
• metadata management, and model lineage standards are deeply integrated into
• all technical designs.
• * Define, scale, and own the horizontal framework and tooling strategy for
• Process Mapping and Mining (e.g., Celonis, Signavio) across Corporate
• Engineering.