Senior Data Consultant (GCP Migration)

Thakral One; Metro Manila; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Thakral One in the Philippines seeks a Senior Data Consultant (GCP Migration) to lead hands-on migration of Snowflake, Databricks and on-prem workloads to a secure, governed lakehouse on Google Cloud, spanning architecture, migration delivery and stakeholder adoption.

You will design governed lakehouse components, drive governance, enable change management, and partner with client teams to realise an AI-ready data platform with zero business interruption.

Qualifications

• 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.

Responsibilities

• 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.
• Ensure designs meet requirements for zero downtime, trustworthy data, complete cutover, and capped dual-run spend.
• 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.
• Partner with Change Management and Enablement teams to translate platform changes into business impacts.
• Lead working sessions with stakeholders, requirements walkthroughs and adoption clinics.
• Coach customer data engineering and analytics teams through pairing and enablement sessions.
• Identify adoption risks and mitigations.

Skills

Data engineering

Data architecture

Snowflake

Databricks

BigQuery

Governance

MLOps

GenAI

Change management

Stakeholder engagement

Education

Google Cloud Professional Data Engineer

Google Cloud Architect certification

Tools

dbt

Apache Iceberg

SQL

Spark

Job description

About the job 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

• 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.
• Ensure designs meet requirements for zero downtime, trustworthy data, complete cutover, and capped dual‑run spend.
• 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 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.