GCP Data Architect (Databricks)

Key Responsibilities:

• Architect and design

  modern, scalable, and secure data engineering platforms on

  Google Cloud Platform (GCP)

  , ensuring high availability and performance.
• Lead the

  implementation and optimization of ETL/ELT pipelines

  leveraging

  Databricks

  ,

  PySpark

  , and

  Unity Catalog

  for data governance and cataloging.

• Define and enforce data architecture standards

  , frameworks, and best practices across projects to ensure consistency, scalability, and security.

• Lead the end-to-end delivery

  of enterprise data solutions covering

  data ingestion

  ,

  transformation

  ,

  storage

  , and

  consumption

  layers.
• Collaborate with stakeholders across the organization to

  translate business requirements into scalable data solutions

  .
• Establish and maintain

  data governance frameworks

  , ensuring compliance, data quality, and security across the data lifecycle.
• Drive the

  automation and infrastructure deployment

  using

  Terraform

  and other DevOps tools to streamline development and operational processes.
• Provide

  technical leadership

  and mentorship to engineering teams, fostering an environment of continuous learning and improvement.

• Review and approve designs and implementations

  , ensuring alignment with architectural vision and best practices.

Required Skills Expertise:

• 10+ years of experience in

  data engineering

  , with at least 3+ years in an

  architectural role

  .

• Hands-on expertise

  in

  Databricks

  ,

  PySpark

  , and

  ETL/ELT processes

  .
• Proven experience working with

  Google Cloud Platform (GCP)

  services such as

  BigQuery

  ,

  Dataflow

  ,

  Pub/Sub

  , etc
• Strong working knowledge of

  Unity Catalog

  for data governance and cataloging.
• In-depth understanding of

  data architecture principles

  , such as

  Data Lake

  ,

  Medallion Architecture

  , and

  Data Vault 2.0

  .
• Experience with

  Terraform

  (Infrastructure as Code) and

  cloud automation

  .
• Familiarity with

  DevOps/CI/CD pipelines

  for automating data engineering workflows.
• Ability to

  define and execute architecture roadmaps

  , ensuring alignment with both business and technical goals.
• Strong

  communication

  and

  leadership skills

  , with the ability to influence stakeholders and lead cross-functional teams.

Preferred Qualifications:

• GCP Professional Data Engineer

  or

  Architect Certification

  .
• Experience implementing

  enterprise data governance frameworks

  .
• Knowledge of

  multi-cloud environments

  (AWS, Azure) is a plus.