Solution Architect (US)

Job Summary

Enterprise Data Strategy

Data Architecture Leadership

Cloud & Emerging Technologies

Data Governance & Security

Stakeholder & Client Management

Delivery Governance

Architecture & Design

Data Platforms

Cloud Platforms

Data Engineering

Governance & Security

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
• 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

Behavioral Competencies

Success Measures

Responsibilities

• 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.
• 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.
• Lead architecture initiatives leveraging platforms such as:
• Microsoft Azure
• 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
• 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]
• 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.
• 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
• Enterprise Data Architecture
• Data Modeling (Conceptual, Logical, Physical)
• Dimensional Modeling
• Data Vault Modeling
• Canonical Data Models
• Domain-Driven Data Design
• 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.
• Azure Data Platform
• AWS Analytics Services
• Google Cloud Data Services
• ETL / ELT Frameworks
• Real-Time Streaming Platforms
• Apache Spark
• Kafka
• SQL
• Data Pipelines
• DataOps
• Data Governance
• Data Quality Frameworks
• Master Data Management
• Metadata Management
• Data Cataloging
• Data Lineage
• GDPR / Regulatory Compliance
• 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.
• Other Requirements