Engineering Leader, Google COE

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit  Fractal | Intelligence for Imagination  for more information about Fractal. Role Overview We are seeking a highly experienced Engineering Lead with deep expertise across both Google Cloud Platform (GCP) and Google's internal First-Party (1P) Engineering Ecosystem . This role goes beyond solution architecture. The ideal candidate will be a hands-on technical leader capable of driving architecture, engineering execution, delivery governance, reliability, and innovation across large-scale enterprise programs. You will serve as the technical authority for clients while mentoring engineering teams and ensuring delivery excellence. The ideal candidate will have: 10+ years of software engineering and distributed systems experience. Strong hands-on expertise building large-scale platforms using GCP. Prior Google experience or substantial exposure to Google's 1P ecosystem. Experience leading teams as a Technical Lead (TL) or Engineering Lead. Deep understanding of distributed systems, data platforms, AI/ML systems, and cloud-native architectures. Proven ability to bridge technical strategy with hands-on execution. Key Responsibilities: Technical Architecture & Vision Define long-term technology roadmaps aligned with business objectives. Lead architecture and design for data, analytics, AI/ML, and platform engineering initiatives. Design scalable and resilient systems leveraging: BigQuery Vertex AI Dataflow Dataproc Cloud Composer Event-driven and microservices architectures Drive engineering standards, code quality, platform governance, and architectural consistency. Make critical technology decisions considering scalability, reliability, maintainability, and cost efficiency. Translate business requirements into technical specifications and executable engineering plans. First-Party Google Engineering Expertise Candidates with prior Google experience should demonstrate deep working knowledge of Google's internal engineering ecosystem, including: Compute, Serving & Deployment Strong understanding of Borg and large-scale cluster orchestration principles. Experience with Google's service deployment ecosystem…