Job Title: GCP Data Architect (Hybrid)
Location: Noida, India
Experience: 10+ Years
About The Role
We are looking for a highly experienced
Data Architect to lead the design, architecture, and optimization of large-scale, enterprise-level data platforms. The ideal candidate will have a strong background in
Databricks,
PySpark,
Google Cloud Platform (GCP),
Unity Catalog,
ETL processes, and
Terraform. You will play a key role in delivering scalable, secure, and high-performance data engineering solutions across the organization.
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.
