Senior Technical Architect

Bengaluru, Karnataka

Job Summary

GCP Senior Data Architect

Location: Bangalore
Experience: 10+ years
Platform: Google Cloud Platform

We are looking for an experienced GCP Senior Data Architect to lead the design and modernization of enterprise-scale data platforms on Google Cloud.

The ideal candidate will bring solid expertise in Enterprise Data Warehousing, Data Modeling, Lakehouse implementation and Medallion Architecture , along with the ability to provide technical leadership across complex data transformation initiatives.

Key Responsibilities

- Define enterprise data architecture strategies and cloud modernization roadmaps.
- Architect scalable, secure, governed, and cost-efficient data platforms on GCP.
- Design Enterprise Data Warehouse and Lakehouse solutions using Bronze, Silver, and Gold layers .
- Lead conceptual, logical, physical, and dimensional data modeling.
- Design facts, dimensions, conformed dimensions, star and snowflake schemas, business keys, surrogate keys, and SCD patterns.
- Define architecture patterns for batch, streaming, near-real-time, and CDC-based data processing.
- Optimize BigQuery solutions through effective modeling, partitioning, clustering, query optimization, and cost management.
- Establish standards for data ingestion, transformation, quality, governance, metadata, lineage, security, and lifecycle management.
- Lead architecture reviews and provide technical direction to data engineers, data modelers,



analytics engineers, and cloud teams.
- Drive Git-based development, CI/CD, automated testing, monitoring, and Infrastructure as Code practices.

Skill Requirements

Required Expertise

- 10+ years of experience in data platforms, Enterprise Data Warehousing, analytics, and data integration.
- 5+ years of experience as a Data Architect or Solution Architect.
- 3+ years of hands-on GCP data architecture experience.
- Strong expertise in Enterprise Data Warehousing, dimensional modeling, Lakehouse, and Medallion Architecture .
- Hands-on experience with BigQuery, Cloud Storage, BigLake, Dataflow, Dataproc, Dataplex, Pub/Sub, Cloud Composer, and Dataform .
- Advanced SQL skills and a strong understanding of ETL/ELT, batch, streaming, and CDC patterns.
- Experience modernizing or migrating legacy and on-premises data platforms to GCP.
- Strong knowledge of data governance, quality, lineage, security, privacy, and compliance.
- Experience with Git, CI/CD, Terraform, DataOps, DevOps, and FinOps practices.
- Excellent technical leadership, documentation, communication, and stakeholder-management skills.

Preferred Qualifications

- Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
- Experience with Data Mesh, Data Products, Data Vault, MDM, or Reference Data Management.
- Exposure to Vertex AI and AI/ML platform integration.

Other Requirements

📌 Senior Technical Architect (India)
🏢 HCLTech
📍 India