Senior Group Technical Architect

HCLTech; Bengaluru; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

HCL Technologies Limited is seeking an experienced Senior Group Technical Architect to lead the design and implementation of scalable data platforms on Google Cloud. The role demands deep data architecture expertise, hands-on capability, and the ability to drive enterprise data transformation initiatives.

You will architect end-to-end data platforms on GCP, build scalable pipelines with BigQuery/Dataflow/Pub/Sub, and ensure governance, security, and compliance across programs while mentoring

Formación

• 10+ years in Data Engineering or Data Architecture.
• Deep hands-on expertise with the GCP ecosystem.
• Experience designing enterprise-grade data platforms.

Responsabilidades

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

Conocimientos

GCP expert

Data architecture

Leadership

Stakeholder management

Educación

Bachelor's/Master's in CS or related

Herramientas

BigQuery

Dataflow

Pub/Sub

Airflow / Cloud Composer

Terraform

Data modeling

Descripción del empleo

Career Opportunities: Senior Group Technical Architect (190158)

Requisition ID190158-Posted11/05/2026

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:
• 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.

Skill Requirements

• 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

Core Technical Skills (Must-Have)

• GCP Services:
• Big Query (Advanced level)
• Dataflow (Apache Beam)
• Pub/Sub
• Data Engineering & Architecture:
• Data Warehousing & Data Modeling (Star, Snowflake)
• Distributed data processing
• Programming:
• Python, SQL (mandatory)
• Data governance & security models
• Metadata, lineage, and cataloging

Preferred Skills

• GCP Certifications:
• Experience with:
• Apache Spark / Hadoop ecosystem
• Exposure to:
• CI/CD, DevOps practices, Terraform
• Workflow orchestration (Airflow / Cloud Composer)
• 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

Other Requirements

• 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