GCP Data Architect (Databricks)

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About The Role

Data Architect

Databricks

PySpark

Google Cloud Platform (GCP)

Unity Catalog

ETL processes

Terraform

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.