Job Summary

we are seeking a Lead Architect - Data Engineering (GCP Data Architect) to drive a large-scale Cloud and Data Platform Modernization program. This role focuses on building a next-generation GCP Data Mesh and Data Platform as a Service (DPaaS) to enable enterprise-wide analytics and AI readiness.

You will lead the transformation of raw enterprise data into high-value Gold layer data products within a Medallion Data Lake architecture, powering business-critical BI and self-service analytics. As a key technical leader, you will collaborate with cross-functional stakeholders and ensure the platform is scalable, secure, and future-ready.

Role & Responsibilities

Architectural Leadership & Delivery

- Design and implement a scalable GCP Data Mesh architecture with domain-driven ownership
- Architect and build Data Platform as a Service (DPaaS) capabilities for enterprise use
- Lead the design of Medallion Data Lake architecture, especially Gold layer datasets (Fact & Dimension models)
- Define and oversee development of robust, scalable data pipelines across enterprise systems

Data Engineering & Platform Development

- Develop enterprise Semantic Layer and Data Products for BI and self-service analytics
- Ensure high data quality through automated validation, monitoring, and observability frameworks
- Optimize BigQuery performance (partitioning, clustering, indexing, query tuning)




- Enable AI-ready data platforms for future advanced analytics use cases

Governance & Collaboration

- Implement data governance, security, and RBAC frameworks
- Collaborate with domain and technical SMEs to align architecture with business goals
- Drive Agile delivery, ensuring timelines and milestones are met
- Act as the key liaison between delivery teams and stakeholders

Required Skills & Qualifications

- 10-12 years of experience in Data Engineering with 3-5 years in a lead/architect role
- Strong expertise in GCP services (BigQuery, Dataflow, Dataproc, GCS, Pub/Sub, Cloud Composer)
- Experience in building Data Mesh, Medallion Architecture, and scalable data platforms
- Proficiency in data modeling (Star/Snowflake schema) and pipeline design (ETL/ELT)
- Hands-on experience with CI/CD, DevOps practices, and Terraform for GCP provisioning
- Knowledge of data governance, security, and RBAC, with solid stakeholder communication skills

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Job Snapshot

- Updated Date
- 11-04-2026
- Job ID
- J_5014
- Location

Bengaluru, Karnataka, India

- Experience
- 10 - 12 Years
- Employee Type
- Permanent

📌 Gcp Data Architect (Bengaluru)
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📍 Bengaluru