Senior Data Architect (GCP)

? Location: Bengaluru/Hyderabad/Chennai/Pune

? Experience: 13+ Years

☁️ Cloud Platform: Google Cloud Platform (GCP)

About the Role

We are looking for a highly experienced
Senior Data Architect (GCP)
to lead the design and implementation of scalable, secure, and high-performance data platforms on Google Cloud. The ideal candidate will possess deep expertise in modern data architectures, hands-on engineering capabilities, and a strong track record of driving enterprise-scale data transformation initiatives.

Key Responsibilities

✅ Architect and implement end-to-end data platforms on Google Cloud Platform (GCP)

✅ Design and build scalable batch and real-time data pipelines using:
- BigQuery
- Dataflow (Apache Beam)
- Pub/Sub

✅ Define and optimize data storage and processing architectures using:
- BigQuery
- Cloud Storage
- Cloud SQL
- Firestore

✅ Lead the development of:
- Data Warehouses
- Data Lakes
- Enterprise Data Models

✅ Establish frameworks for:
- Data Governance
- Data Quality
- Security & Compliance





✅ Collaborate with business stakeholders, engineering teams, and data scientists to deliver scalable solutions

✅ Drive platform performance optimization, cost efficiency, and reliability

✅ Conduct architecture reviews and provide technical leadership and mentorship

✅ Define best practices, standards, and reusable frameworks across teams

Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field
- 13+ years of experience in Data Engineering and Data Architecture
- Solid hands-on expertise across the GCP ecosystem

Must-Have Skills
- GCP BigQuery (Advanced)
- GCP Dataflow (Apache Beam)
- Pub/Sub
- Python
- SQL
- Vertex AI
- DevOps Practices
- Cloud Storage
- Cloud SQL / Firestore
- Data Warehousing & Data Modeling
- ETL/ELT Pipeline Design
- Real-time Data Processing

Good-to-Have Skills
- Apache Spark
- Hadoop Ecosystem
- Machine Learning & AI Pipeline Integration

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