GCP Data Engineer

HCLTech; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

HCLTech in Chennai seeks an experienced Data Platform Architect to lead end-to-end data platform initiatives on Google Cloud Platform. You will design scalable batch and real-time data pipelines using BigQuery, Dataflow, and Pub/Sub, and define storage architectures across data warehouses and lakes.

You will provide technical leadership, mentor engineers, collaborate with business stakeholders and data scientists, drive performance and cost efficiency, and enforce best practices, governance,

Qualifications

• Experience architecting scalable data platforms on cloud
• Proficient in GCP services: BigQuery, Dataflow, Pub/Sub
• Strong data governance, security and compliance understanding
• Ability to lead cross-functional teams and mentor engineers
• Excellent collaboration with stakeholders and data scientists

Responsibilities

• Architect and implement end-to-end data platforms on GCP
• Design scalable batch and real-time data pipelines using BigQuery, Dataflow, Pub/Sub
• Define and optimize data storage & processing architectures
• Lead development of data models, data warehouses, and data lakes
• Establish data governance, quality, security, and compliance frameworks
• Collaborate with business stakeholders, data scientists, and engineering teams
• Drive performance optimization, cost efficiency, and reliability across data platforms
• Provide technical leadership, conduct design reviews, and mentor teams
• Define and enforce best practices, standards, and reusable frameworks
• Evaluate and adopt emerging GCP services

Skills

Architectural thinking

Stakeholder collaboration

Leadership

Mentoring

Problem solving

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Data modeling

ETL/ELT design

Job description

Exp - 4+

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:
• Big Query, Dataflow (Apache Beam), Pub/Sub
• Define and optimize data storage & processing architectures using:
• Lead development of robust data models, data warehouses, and data lakes.
• Establish data governance, quality, security, and compliance frameworks.
• Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into scalable solutions.
• Drive performance optimization, cost efficiency, and reliability across data platforms.
• Provide technical leadership, conduct design reviews, and mentor engineering teams.
• Define and enforce best practices, standards, and reusable frameworks.
• Evaluate and adopt emerging GCP se