Senior Data Architect (GCP)

HCLTech; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

HCLTech in Bengaluru seeks a Senior Data Architect (GCP) to design and implement scalable data platforms on Google Cloud, with hands-on engineering leadership.

You will build end-to-end pipelines using BigQuery, Dataflow, Pub/Sub; design data warehouses and data lakes, governance, security, and cost optimization; mentor teams across projects.

Qualifications

• 13+ years of experience in Data Engineering and Data Architecture.
• Strong hands-on expertise across the GCP ecosystem (BigQuery, Dataflow, Pub/Sub).
• Experience leading enterprise-scale data transformation initiatives.
• Bachelor's or Master's in CS/IT or related field.

Responsibilities

• Architect end-to-end data platforms on GCP.
• Design scalable batch and real-time data pipelines.
• Define and optimize storage and processing architectures.
• Lead development of data warehouses, lakes, governance, and quality.
• Collaborate with stakeholders to deliver scalable solutions.
• Drive platform performance, cost efficiency, and reliability.
• Conduct architecture reviews and provide technical leadership.
• Define best practices and reusable frameworks.

Skills

GCP BigQuery

GCP Dataflow

Pub/Sub

Python

SQL

DevOps Practices

Data Warehousing & Data Modeling

Real-time Data Processing

Education

Bachelor's or Master's degree in Computer Science/IT or related field

Tools

Google Cloud Platform

Job description

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
  • Firestore
• Lead the development of:
  • Data Warehouses
  • Data Lakes
  • 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
• Strong hands-on expertise across the GCP ecosystem

Must-Have Skills

• GCP BigQuery (Advanced)
• GCP Dataflow (Apache Beam)
• Pub/Sub
• Python
• SQL
• DevOps Practices
• Data Warehousing & Data Modeling
• Real-time Data Processing

Good-to-Have Skills

• Hadoop Ecosystem
• Terraform
• CI/CD Implementation
• Airflow / Cloud Composer

Preferred Certifications

Google Professional Data Engineer

Google Professional Cloud Architect

• Strong ownership and accountability
• Excellent analytical and problem-solving skills
• Stakeholder management and executive communication
• Ability to influence architectural decisions
• Focus on scalability, governance, and operational excellence

Why Join Us?

• Work on enterprise-scale cloud transformation programs
• Architect cutting-edge data platforms on GCP
• Collaborate with high-performing teams and business leaders