Senior Data Consultant GCP Migration

As a Senior Data Consultant (GCP Migration), you will be a hands‑on senior individual contributor helping deliver a large‑scale Data & AI transformation on Google Cloud. You will work across architecture, migration delivery, and stakeholder adoption to build a secure, governed, AI‑ready lakehouse ecosystem and migrate existing Snowflake, Databricks, BigQuery, pipeline, and ML workloads with zero business interruption.

What You'll Do and How You'll Succeed

Architecture

• Design and evolve components of the governed lakehouse foundation across BigQuery, Apache Iceberg, batch/streaming/CDC ingestion, dbt‑based transformation, catalogue, lineage, data quality, and semantic layer.
• Produce Architecture Decision Records (ADRs) and defend designs through governance reviews.
• Assess Snowflake and Databricks workloads and determine rehost, re‑platform, or re‑architect migration paths.
• Contribute to AI and agentic control‑plane architecture (LLM gateway, tool registry, evaluation, human‑in‑the‑loop).
• Ensure designs meet requirements for zero downtime, trustworthy data, complete cutover, and capped dual‑run spend.

Hands‑on Delivery

• Execute within the migration factory by building pipelines and data products.
• Drive workloads through migration and cutover gates to legacy decommissioning.
• Implement federated governance in code (contracts, quality rules, lineage, access controls).
• Support migration wave planning through inventory, dependency mapping, effort estimation, and sequencing.
• Troubleshoot production issues during dual‑run and hypercare, contributing to runbooks and handover.
• Track and report evidence against delivery, trust, adoption, and economics gates.

Change Management & Stakeholder Engagement

• Partner with Change Management and Enablement teams to translate platform changes into business impacts.
• Lead working sessions with stakeholders, including requirements walkthroughs and adoption clinics.
• Coach customer data engineering and analytics teams through pairing and enablement sessions.
• Identify adoption risks and resistance early and recommend mitigations.

We'd Love to Hear From You If...

Experience

• You have 10+ years of experience in data engineering/architecture, including 3+ years in consulting or professional services.
• You have delivered at least one large‑scale migration involving Snowflake, Databricks, or on‑premises platforms to cloud lakehouse.
• You have practical experience implementing governance across catalogues, lineage, data quality, contracts, and federated models.
• You have facilitated client workshops, design reviews, and transformation discussions.
• You may have telecommunications experience (network data, CDR, Customer 360, CLM/campaign data).
• You may have experience working in the Philippines or Southeast Asian enterprise markets.

Technical Expertise

• You bring deep, hands‑on Google Cloud data stack expertise (BigQuery, Dataproc, Dataflow, dbt, Composer/Airflow, CI/CD).
• You have working knowledge of open table formats (Apache Iceberg) and lakehouse patterns.
• You can assess and translate Snowflake/Databricks workloads (Spark, Delta, SQL).
• You have exposure to GenAI and agentic data‑platform patterns (LLM semantic layers, Vertex AI, RAG).
• You are literate in FinOps (cost baselining, allocation, forecasting, workload reporting).
• You may have MLOps/DataOps experience (feature pipelines, model CI/CD).
• You hold Google Cloud Professional Data Engineer or Cloud Architect certification (preferred).
• You may have exposure to structured change frameworks such as ADKAR.

Ways of Working

• You can operate credibly across architecture, delivery, and stakeholder change conversations.
• You are comfortable whiteboarding designs with engineers and translating changes for business teams.
• You communicate effectively in English and present confidently to director/VP‑level stakeholders.
• You establish yourself as a trusted technical counterpart, contribute architecture decisions, deliver workloads through validation, and independently lead enablement sessions.

Assignment Details

• Location: Metro Manila, Philippines