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

Data Architect

Key Responsibilities:

Design and Develop Data Architecture Solutions:

Define and implement scalable, secure, and high-performing data architecture frameworks that meet business requirements, including:

• Designing data models (conceptual, logical, and physical) for transactional and analytical systems
• Establishing standards for data integration, storage, and retrieval
• Leveraging approved tools and technologies for data architecture

Establish Data Governance and Standards:

Ensure compliance with organizational data governance policies and standards, including:

• Defining naming conventions, data modeling standards, and best practices
• Implementing metadata management and data lineage tracking
• Enforcing security and privacy standards for sensitive data

Oversee Data Integration and ETL Frameworks:

Provide architectural guidance for ETL and data integration processes (Informatica, IDMC, Talend, etc.), including:

• Designing robust ETL frameworks aligned with data architecture principles
• Ensuring data quality, consistency, and integrity across systems
• Supporting CI/CD pipelines for data workflows

Lead and Mentor Teams:

Offer technical leadership and mentorship to data engineers and ETL developers, including:

• Guiding on data modeling, integration, and architecture best practices
• Conducting design reviews and providing feedback
• Promoting knowledge sharing and collaboration

Collaborate with Stakeholders:

Work closely with business analysts, application architects, and other teams to translate business requirements into data architecture solutions that enable analytics and operational efficiency.

Optimize Data Systems:

Continuously monitor and optimize data architecture for performance, scalability, and reliability, including:

• Troubleshooting data integration issues
• Implementing performance tuning strategies
• Establishing monitoring and alerting mechanisms

Maintain Documentation and Knowledge Base:

Develop and maintain comprehensive documentation for data architecture, including:

• Data models, integration patterns, and governance frameworks
• Best practices and architectural guidelines

Stay Ahead of Emerging Trends:

Research and adopt emerging technologies in data architecture, cloud platforms, and big data ecosystems to enhance organizational capabilities.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 12+ years of experience in data architecture and data engineering, with at least 3 years in an architectural leadership role
• Expertise in data modeling, data warehousing, and data governance principles
• Hands-on experience with ETL tools (Informatica PowerCenter/IDMC, Talend, SSIS) and data integration frameworks
• Strong proficiency in SQL and familiarity with programming languages (Python, Java, etc.)
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Experience with agile methodologies and version control systems (Git)

If you would like to explore opportunities with HCLTech please visit our website www.hcltech.com.

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