GCP Senior Data Architect
India
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Job Description
GCP Senior Data Architect
Hyderabad, Telangana

Job Summary

We are looking for a highly experienced GCP Data Architect to lead the design and implementation of scalable, secure, and high-performance data platforms on Google Cloud. This role requires deep expertise in modern data architectures, strong hands-on capability, and the ability to drive enterprise-level 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:
    • Big Query, Dataflow (Apache Beam), Pub/Sub
  • Define and optimize data storage & processing architectures using:
    • Big Query, Cloud Storage, Cloud SQL, Fire store
  • 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 services and modern data architecture patterns.

Required Qualifications

  • Bachelor’s/master’s degree in computer science, IT, or related field
  • 10+ years of experience in Data Engineering / Data Architecture

Strong hands-on expertise in GCP ecosystem

Skill Requirements

Core Technical Skills (Must-Have)

  • GCP Services:
    • Big Query (Advanced level)
    • Dataflow (Apache Beam)
    • Pub/Sub
    • Cloud Storage
    • Cloud SQL / Fire store
  • Data Engineering & Architecture:
    • ETL/ELT pipeline design (batch & streaming)
    • Data Warehousing & Data Modeling (Star, Snowflake)
    • Distributed data processing
    • Real-time data architecture
  • Programming:
    • Python, SQL (mandatory)
  • Architecture Expertise:
    • End-to-end data platform design
    • Data governance & security models
    • Metadata, lineage, and cataloging

Preferred Skills

  • GCP Certifications:
    • Professional Data Engineer / Cloud Architect
  • Experience with:
    • Apache Spark / Hadoop ecosystem
    • Machine Learning & AI pipeline integration
  • Exposure to:
    • CI/CD, DevOps practices, Terraform
    • Workflow orchestration (Airflow / Cloud Composer)

Leadership & Behavioral Competencies

  • Strong ownership and accountability
  • Excellent problem-solving and analytical thinking
  • Stakeholder management and executive communication
  • Ability to lead teams and drive decisions
  • Process-oriented with focus on scalability and governance

Role Expectations

  • Act as solution owner for data architecture decisions
  • Drive best practices adaption across teams
  • Ensure alignment with enterprise data strategy
  • Enable faster and reliable data-driven decision-making

Other Requirements

1. Google Professional Data Engineer Or Google Professional Cloud Architect Certification (Optional But Valuable
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.