GCP Data Architect

Tata Consultancy Services; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services (TCS) is seeking a GCP Data Architect to design scalable cloud data platforms and drive enterprise data transformation. You will work across business and technical stakeholders to define data strategies and lead cloud migration efforts.

Ideal candidates bring 10–15 years of data engineering/architecture experience with strong GCP, SQL, Python and hands-on in large-scale analytics, data lakes, and cloud-native architectures.

Qualifications

• 10–15 years of experience in Data Engineering/Data Architecture.
• Hands-on expertise with GCP services and modern data platforms.
• Strong proficiency in SQL and Python.
• Experience in large-scale analytics, data lakes, and cloud-native architectures.

Responsibilities

• Design and implement scalable data architectures on GCP.
• Build robust real-time and batch data processing pipelines.
• Leverage BigQuery, Pub/Sub, Dataflow, and Dataproc for enterprise-grade solutions.
• Collaborate with business and technical stakeholders to define data strategies.
• Drive cloud migration and modernization initiatives.
• Ensure security, reliability, and performance of data platforms.

Skills

GCP Services

Dataflow/Dataproc/Spark

Data Warehousing & ETL/ELT

Cloud Architecture

Performance Optimization

Data Governance

SQL

Python

Job description

TCS is Hiring | GCP Data Architect | 10-15 Years | Multiple Locations

Are you passionate about designing scalable cloud data platforms and driving enterprise data transformation? Join Tata Consultancy Services (TCS) as a GCP Data Architect and be part of cutting-edge cloud and analytics initiatives.

Locations: Chennai | Bangalore | Kolkata | Pune | Hyderabad | Delhi NCR

Key Skills Required:

• Google Cloud Platform (GCP) Services
• Dataflow / Dataproc / Apache Spark
• Data Warehousing & ETL/ELT Concepts
• Cloud Architecture & Solution Design
• Performance Optimization & Data Governance

Responsibilities:

• Design and implement scalable data architectures on GCP.
• Build robust real-time and batch data processing pipelines.
• Leverage BigQuery, Pub/Sub, Dataflow, and Dataproc for enterprise-grade solutions.
• Collaborate with business and technical stakeholders to define data strategies.
• Drive cloud migration and modernization initiatives.
• Ensure security, reliability, and performance of data platforms.

Ideal Candidate:

• 10-15 years of experience in Data Engineering/Data Architecture.
• Hands-on expertise with GCP services and modern data platforms.
• Strong proficiency in SQL and Python.
• Experience in large-scale analytics, data lakes, and cloud-native architectures.