Description

Architecture & Strategy
• Define short- and long-term technology vision for clients, evaluating their current landscape and charting a path forward.
• Lead end-to-end architecture for Data Engineering, Data Warehousing, and AI/ML solutions on GCP.
• Design scalable, secure, future-proof solutions using GCP-native services BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, and more.
• Build foundational architectures: microservices, event-driven systems, event streaming, and online ML systems.
• Champion data governance, data management best practices, and platform maintainability.
Delivery Leadership
• Act as Delivery Lead on large-scale programs owning timelines, quality, risk, and client satisfaction end to end.
• Drive program governance across workstreams, keeping cross-functional and cross-geography teams aligned.
• Step in hands-on during critical delivery phases architecture validation, performance tuning, production issue resolution.
• Bridge the gap between architecture decisions and execution realities, ensuring long-term scalability is never sacrificed for short-term speed.
• Mentor delivery teams, instilling strong engineering practices, accountability, and a culture of continuous improvement.
Client Engagement
• Become a trusted thought partner to senior client leaders understanding their pain points and translating them into actionable technical strategies.
• Proactively identify client needs and align them with innovative, business-impacting solutions.
• Communicate complex technical concepts clearly across executive, business, and engineering audiences.
• Build lasting relationships with senior stakeholders and cross-functional teams.

Community & Enablement
• Contribute to best practices, reference architectures, and technical content that elevate the broader practice.
• Collaborate with data engineers and data scientists to co-develop architecture that serves both analytical and operational needs.

Must-Have
12+ years in Data Engineering and Cloud-native technologies, with deep GCP expertise.
Hands-on mastery of: BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, GCP serverless infrastructure.
Proven delivery of end-to-end Data Engineering, Data Warehousing, or Analytics platforms at scale.
Strong programming skills in Python and/or Java.
Experience with Agile, CI/CD, DevOps, and MLOps pipelines.
Track record leading large, complex, client-facing delivery programs.
Ability to manage cross-functional, cross-geography teams with clarity and accountability.
Prior Google with direct exposure to first party tooling.
Write and optimize queries using PLX to support data analysis and product features
Proficiency in PLX or similar structured querying languages (e.g. SQL, Dremel/Spanner)

Nice to Have
• Docker & Kubernetes experience.
• DevOps on GCP.
• AWS experience, especially in hybrid cloud contexts.
• Google Cloud Professional Cloud Architect Certification

Key Skills

Education

Bachelor's degree