GCP Senior Data Architect

HCL Technologies Limited; Gautam Buddha Nagar; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

HCLTech is seeking a GCP Data Architecture Lead in India to architect and deliver enterprise-grade data solutions on Google Cloud. You will shape data strategies, govern governance, and guide ML workflows with Vertex AI, while mentoring teams and driving cloud innovation.

The role emphasizes scalable, secure data architectures, collaboration with stakeholders, and leadership across the project lifecycle in a fast-paced cloud environment.

Qualifications

• Architect End-To-End Data Solutions Using Google BigQuery and Google Dataflow.
• Define And Enforce Data Architecture Standards And Governance Frameworks Using GCP-native tools.
• Lead The Design And Integration Of Machine Learning Workflows Using Vertex AI.
• Oversee DevOps Practices For Data Pipelines Using Python And GCP Services.
• Collaborate With Internal Teams To Translate Complex Business Requirements Into Robust Technical Solutions.
• Mentor And Develop Technical Teams In GCP Technologies.
• Author Whitepapers And Represent The Organization In Industry Forums.

Responsibilities

• Architect End-To-End Data Solutions Using Google BigQuery and Dataflow, ensuring scalability, security, and alignment with enterprise strategies.
• Define and enforce governance using GCP-native tools and ensure compliance across projects.
• Lead the design and integration of ML workflows using Vertex AI for advanced analytics.
• Oversee DevOps for data pipelines using Python and GCP services for deployment and maintenance.
• Collaborate with teams to translate business needs into scalable technical solutions throughout the lifecycle.
• Mentor teams in GCP technologies and promote continuous learning in cloud data trends.
• Author whitepapers and represent the organization in industry forums.

Skills

GCP BigQuery

Google Dataflow

Vertex AI

Python for data engineering

DevOps for data pipelines

GCP security & governance

Cloud-native data architectures

Translate business requirements into 技

Tools

Google BigQuery

Google Dataflow

Vertex AI

Python

Job description

The GCP Data Architecture Lead is responsible for architecting and delivering large-scale, enterprise-grade data solutions using Google Cloud Platform technologies. This role drives the design, implementation, and governance of advanced data architectures, ensuring alignment with business objectives and industry best practices. The position provides strategic technical direction, fosters innovation, and champions the adoption of cutting‑edge cloud and AI solutions to enable data‑driven decision‑making across the organization.

Key Responsibilities

• 1. Architect End-To-End Data Solutions Using Google Bigquery And Google Dataflow, Ensuring Scalability, Security, And Alignment With Enterprise Data Strategies.
• 2. Define And Enforce Data Architecture Standards And Governance Frameworks Leveraging Gcp-Native Tools, Ensuring Compliance And Best Practices Across All Projects.
• 3. Lead The Design And Integration Of Machine Learning Workflows Using Vertex Ai, Enabling Advanced Analytics And Ai-Driven Insights For Business Stakeholders.
• 4. Oversee The Implementation Of Devops Practices For Data Pipelines, Utilizing Python And Gcp Services To Automate Deployment, Monitoring, And Maintenance.
• 5. Collaborate With Internal Teams To Translate Complex Business Requirements Into Robust Technical Solutions, Providing Architectural Leadership Throughout The Project Lifecycle.
• 6. Mentor And Develop Technical Teams In Gcp Technologies, Promoting Continuous Learning And Adoption Of Emerging Cloud Data Trends.
• 7. Author Whitepapers And Represent The Organization In Industry Forums, Contributing Thought Leadership And Driving Innovation In Cloud Data Architecture.

Skill Requirements

• 1. Architectural Leadership In Google Bigquery, Google Dataflow, And Vertex Ai For LargeScale Data Solutions
• 2. Advanced Proficiency In Python For Data Engineering And Automation On Gcp
• 3. Solid Expertise In Implementing Devops Practices Within Cloud Data Environments
• 4. InDepth Understanding Of Gcp Security, Compliance, And Governance Frameworks
• 5. Excellent Skills In Designing, Optimizing, And Managing CloudNative Data Architectures
• 6. Strong Ability To Translate Business Needs Into Scalable Technical Solutions

Other Requirements

• 1. Google Professional Data Engineer Or Google Professional Cloud Architect Certification (Optional But Valuable

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 2026totaled $14.8billion.