As a Google Data & AI Engineer (Associate Manager), you will deliver data platforms, analytics, and AI solutions on Google Cloud, owning end-to-end execution from data ingestion and modelling to ML/GenAI and consumption. You will shape solutions with clients and Google partners, lead a small team, and ensure production-ready quality, security, reliability, performance, and cost. You will stay hands‑on in architecture and development while driving DataOps/MLOps, CI/CD, and IaC.
- Hands‑On Data & AI Engineering: Design, build, test, and deploy data pipelines, analytics, and ML/GenAI solutions on Google Cloud, from requirements to production support.
- Client‑Facing Solutioning: Work with clients to understand business and data challenges, translate requirements into target‑state data and AI architectures, and act as a trusted technical advisor.
- Team Leadership & Collaboration: Manage and mentor on‑shore/off‑shore teams, conduct design and code reviews, and collaborate with data owners, product, security, and business teams.
- Modern Engineering & Agile Delivery: Apply DataOps/MLOps, Terraform, automated testing, and CI/CD in an Agile model to deliver quality solutions at pace.
- Delivery Governance & FinOps: Own data quality, SLAs, lineage, access control, and cloud cost (BigQuery slots/reservations, storage tiers) of delivered solutions.
- Nice to have: Google Cloud Professional Data Engineer
- Nice to have: Google Cloud Professional ML Engineer
- Nice to have: Google Cloud Professional Architect
- Nice to have: Looker