Senior Google Data Scientist - GCP Data Migration

About the Company:

• Databricks & Snowflake → Google Cloud | Data & AI Transformation

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.

Responsibilities:

• Architecture: Target-state architecture, migration design, ADRs, and Design Authority participation.
• Delivery: Data engineering, migration factory execution, validation, and cutover.
• Change & Adoption: Client workshops, stakeholder engagement, and technical enablement.

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.
• Ensure designs support minimal business disruption, trusted data, security compliance, controlled cutover, and cost optimization.
• 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.
• Support migration wave planning, including workload inventory, dependency mapping, effort estimation, prioritization, and sequencing.
• Troubleshoot issues during dual-run and hypercare periods.
• Develop operational runbooks and support build-operate-transfer activities with customer teams.
• Track migration progress and provide evidence against delivery, quality, adoption, and cost targets.
• Lead workshops with business and engineering stakeholders covering requirements, migration assessment, solution design, and adoption.
• Explain technical changes and their impact on business teams and existing Snowflake/Databricks processes.
• Coach customer data engineers, analytics engineers, and platform teams through pairing, knowledge transfer, and enablement sessions.
• Identify adoption risks and provide mitigation recommendations to program leadership.

Qualifications:

• 10+ years of experience in Data Engineering and/or Data Architecture.
• 3+ years of client-facing consulting or professional services experience.

Required Skills:

• Strong hands-on experience with the GCP data ecosystem, including:
• BigQuery – data modeling, performance tuning, and cost optimization
• Dataproc
• Dataflow or equivalent streaming/CDC technologies
• Cloud Composer / Airflow
• 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.

Preferred Skills:

• Telecommunications domain experience, particularly network data, CDR/usage data, Customer 360, CLM, or campaign data.
• Strong understanding of Snowflake and/or Databricks, including Spark, Delta Lake, Snowflake SQL, Tasks, and Streams.
• Exposure to GenAI/agentic data solutions, Gemini/Vertex AI, MCP/tool integration, semantic layers, and RAG.
• FinOps experience covering cost baselining, allocation, forecasting, tagging, and cost-per-workload reporting.
• MLOps/DataOps experience, including feature pipelines and model CI/CD.
• Google Cloud Professional Data Engineer and/or Professional Cloud Architect certification.
• Experience working with Philippines or Southeast Asian enterprise clients.

Top 5 Required Skills:

• GCP Data Engineering & Lakehouse Architecture
• Snowflake / Databricks → GCP Migration
• BigQuery, Dataflow/Dataproc, dbt & Airflow
• Data Governance, Data Quality & Migration Cutover
• Client-Facing Consulting & Stakeholder Management

Success in the First 90 Days:

• Become a trusted technical counterpart to a customer workstream lead and contribute ADRs accepted by the Design Authority.
• Support Wave 1 migration disposition and pilot delivery, with at least one workload successfully validated through parallel run.
• Independently conduct customer enablement and adoption sessions, demonstrating measurable knowledge transfer and capability uplift.

Pay range and compensation package:

Location: Manila, Philippines

Preferred; hybrid for candidates outside Manila. Onsite presence required for client workshops. Duration: 12 months, extendable through program completion.