Job description:

About HCLTech
HCLTech is a global technology company, spread 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. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

GCP Sr Data Architect

Job Summary
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 Bus