Senior Google Data Scientist– GCP Data Migration

About the role

We are seeking a hands-on Senior Data Consultant to support a large-scale enterprise Data & AI transformation and migration from Snowflake and Databricks to Google Cloud Platform (GCP). The consultant will operate across data architecture, migration delivery, governance, and stakeholder engagement, working closely with customer engineering and business teams. The role requires someone who can design target-state solutions, contribute hands-on to migration activities, and communicate effectively with senior stakeholders.

Key responsibilities

• Design and evolve a governed GCP lakehouse using BigQuery, Apache Iceberg, Dataflow/Dataproc, batch and streaming/CDC ingestion, dbt, CI/CD, data catalog, lineage, data quality, and semantic layers.
• Assess existing Snowflake and Databricks workloads and determine the appropriate migration approach: rehost, re-platform, or re-architect.
• Develop and present Architecture Decision Records (ADRs) covering security, performance, cost, scalability, and data risk.
• Define migration patterns that minimize technical debt and support reliable production cutover.
• Contribute to AI/agentic data-platform architecture, including LLM gateways, semantic layers, MCP/tool integration, evaluation, and governed data access.
• Build and migrate data pipelines and data products within the migration factory.
• Execute parallel-run validation covering data quality, reconciliation, performance, and cost.
• Implement governance controls including data contracts, DQ rules, lineage, access controls, and certification workflows.
• Lead workshops with business and engineering stakeholders covering requirements, migration assessment, solution design, and adoption.
• Coach customer data engineers, analytics engineers, and platform teams through pairing, knowledge transfer, and enablement sessions.

About you

• 10+ years of experience in Data Engineering and/or Data Architecture.
• 3+ years of client-facing consulting or professional services experience.
• Strong hands-on experience with the GCP data ecosystem, including BigQuery, Dataproc, Dataflow or equivalent streaming/CDC technologies, dbt, Cloud Composer/Airflow, and Data CI/CD and DevOps practices.
• Proven experience delivering at least one large-scale data platform migration involving Snowflake, Databricks, on-premises platforms, or cloud lakehouses.
• Experience with parallel-run validation, production cutover, and migration execution.
• Working knowledge of Apache Iceberg and modern lakehouse architecture.
• Experience implementing data governance, including catalog, lineage, data quality, data contracts, access management, and federated/data-mesh models.
• Strong experience facilitating client workshops, design reviews, requirements discussions, and stakeholder meetings.
• Excellent English communication skills and confidence presenting to Director/VP-level stakeholders.