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.

Senior Google Data Scientist - GCP Data Migration