Technical Architect

Job Summary

HCLTech is seeking a highly experienced and strategic Data Architect to lead enterprise-scale data transformation and modernization initiatives. The role will be responsible for defining data strategy, designing modern cloud-native data platforms, establishing governance frameworks, and enabling enterprise adoption of Data, Analytics, AI, and GenAI capabilities across customer organizations.

The ideal candidate will possess deep expertise in enterprise architecture, cloud data ecosystems, data governance, analytics platforms, and stakeholder management, with proven experience leading large transformation programs and influencing executive-level decisions.

Key Responsibilities

Enterprise Data Strategy

• Define enterprise-wide data strategy aligned with business objectives.
• Develop target-state data architecture and transformation roadmaps.
• Drive modernization of legacy data platforms to cloud-native architectures.
• Establish architecture principles, standards, guidelines, and reference architectures.
• Translate business vision into scalable data and analytics capabilities.

Data Architecture Leadership

• Design enterprise-scale Data Lake, Data Warehouse, Lakehouse, Data Fabric, and Data Mesh architectures.
• Establish conceptual, logical, and physical data models across business domains.
• Architect scalable and resilient batch, streaming, and real-time data platforms.
• Lead architecture reviews, design governance, and technical solution approvals.
• Ensure interoperability across enterprise applications, data sources, and platforms.

Cloud & Emerging Technologies

Lead architecture initiatives leveraging platforms such as:

• Microsoft Azure
• AWS
• Google Cloud Platform
• Snowflake
• Databricks
• Microsoft Fabric
• Synapse Analytics

Drive innovation through:

• AI/ML Enablement
• GenAI Foundations
• LLM Data Readiness
• Intelligent Analytics Platforms
• Data Product Architecture

Data Governance & Security

• Define enterprise data governance framework.
• Establish metadata management, lineage, cataloging, and stewardship practices.
• Ensure compliance with regulatory requirements and security standards.
• Implement data quality and master data management frameworks.
• Drive adoption of privacy-by-design and secure data architecture principles.

Relevant governance practices are aligned with HCLTech's emphasis on enterprise data governance, data quality, compliance, lineage, and stewardship. [Dear HCLTe...is crucial | Viva Engage], [ers-data-e...g-faq-bank | PDF]

Stakeholder & Client Management

• Engage with CXOs, business stakeholders, enterprise architects, and delivery leadership.
• Act as trusted advisor for strategic data transformation programs.
• Conduct architecture workshops, assessments, and executive presentations.
• Support solutioning, presales, and large deal pursuits.
• Drive technology consulting engagements and modernization programs.

Delivery Governance

• Provide technical governance across multiple customer engagements.
• Review architecture deliverables and ensure adherence to standards.
• Mentor architects, leads, and engineering teams.
• Contribute to reusable assets, accelerators, and best practices.
• Drive successful execution of strategic transformation programs.

Skill Requirements

Architecture & Design

• Enterprise Data Architecture
• Data Modeling (Conceptual, Logical, Physical)
• Dimensional Modeling
• Data Vault Modeling
• Canonical Data Models
• Domain-Driven Data Design

Data Platforms

• Data Lakes
• Data Warehouses
• Lakehouse Architecture
• Data Fabric
• Data Mesh
• Enterprise Data Integration

These architecture patterns are part of HCLTech's modern data engineering and modernization offerings.

Cloud Platforms

• Azure Data Platform
• Microsoft Fabric
• AWS Analytics Services
• Google Cloud Data Services
• Snowflake
• Databricks

Data Engineering

• ETL / ELT Frameworks
• Real-Time Streaming Platforms
• Apache Spark
• Kafka
• SQL
• Data Pipelines
• DataOps

Governance & Security

• Data Governance
• Data Quality Frameworks
• Master Data Management
• Metadata Management
• Data Cataloging
• Data Lineage
• GDPR / Regulatory Compliance

Other Requirements

An E5+ Data Architect is expected to:

• Influence enterprise technology strategy.
• Act as a thought leader across Data & AI practices.
• Lead large-scale transformation programs exceeding multiple business units.
• Drive architecture governance across portfolios.
• Mentor architects and technical leaders.
• Contribute to practice development, solution accelerators, and capability building.

Educational Qualification

• Bachelor's Degree in Engineering, Computer Science, Information Systems, or equivalent.
• Master's Degree preferred.

Preferred Certifications

Microsoft

• Azure Solutions Architect Expert
• Azure Data Engineer Associate
• Microsoft Fabric Analytics Engineer

AWS

• AWS Solutions Architect Professional
• AWS Data Analytics Specialty

Google

• Professional Data Engineer
• Professional Cloud Architect

Others

• Databricks Certified Professional
• SnowPro Certification
• TOGAF
• CDMP

Behavioral Competencies

• Strategic Thinking
• Executive Communication
• Customer Centricity
• Business Acumen
• Consulting Mindset
• Innovation & Transformation Leadership
• Stakeholder Influence
• Team Development & Mentoring

Success Measures

• Architecture compliance across engagements
• Data platform modernization outcomes
• Cost optimization and scalability improvements
• Data governance maturity improvements
• AI/Analytics adoption enablement
• Customer satisfaction and business value realization
• Reusable architecture assets and accelerators contributed

15-20+ years of experience, with at least:

• 8+ years in Enterprise Data Architecture
• 5+ years leading cloud data transformation programs
• Experience engaging with CIO/CDO/CDAO stakeholders
• Strong exposure to Data + AI + GenAI strategy and implementation
• Proven leadership across large enterprise and global delivery engagements