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.

- 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.