Senior Google Cloud Data Architect | Lakehouse & Migration

HCL Technologies Philippines Inc; Pateros; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

HCL Technologies Philippines Inc. seeks a hands-on senior consultant to operate across architecture, delivery, and stakeholder change management conversations.

Embedded in the delivery team, you will have architectural authority and oversee migration design, run dual-run validation, and drive cutover to legacy environments. The role emphasizes design authority participation, hands-on data pipelines, and governance, with a focus on cloud data platforms (BigQuery, Snowflake, Databricks) and

Qualifications

• 10+ years in data engineering or data architecture.
• 3+ years in client-facing consulting or professional services delivery.
• Hands-on Google Cloud data stack expertise with multiple platform migrations.
• Strong ability to run stakeholder-facing workshops and ADRs.

Responsibilities

• Architect design of lakehouse components and migration patterns.
• Deliver hands-on data pipelines, cutover validation, and dual-run success.
• Lead change management activities and stakeholder sessions with business teams.
• Define governance: data contracts, lineage, access controls, and certification workflows.
• Collaborate with client teams to land the new operating model.

Skills

BigQuery

Dataproc

Dataflow

dbt

Composer/Airflow

CI/CD for data

Snowflake

Databricks

Apache Iceberg

Data governance

stakeholder engagement

Tools

Snowflake

Databricks

Apache Iceberg

BigQuery

dbt

Airflow/Composer

CI/CD tooling

Job description

HCL Technologies Philippines Inc. seeks a hands-on senior consultant to operate across architecture, delivery, and stakeholder change management conversations.

Embedded in the delivery team, you will have architectural authority and oversee migration design, run dual-run validation, and drive cutover to legacy environments. The role emphasizes design authority participation, hands-on data pipelines, and governance, with a focus on cloud data platforms (BigQuery, Snowflake, Databricks) and