Vijay Tripathi

Data Solution Architect with 14+ years of experience in designing and delivering enterprise-scale Data Warehousing, Data Governance, Master Data Management (MDM), Data Quality, Big Data, Cloud, Analytics, AI/ML, and Data Integration solutions.

Key Responsibilities
Define enterprise data architecture, strategy, standards, and governance frameworks.
Design scalable data platforms, data lakes, data warehouses, and lakehouse architectures.
Lead end-to-end solution design for data integration, ETL/ELT, MDM, data quality, and analytics initiatives.
Collaborate with business stakeholders to translate business requirements into technical solutions.
Establish data models, metadata management, lineage, security, and compliance standards.
Drive cloud data modernization using platforms such as AWS, Azure, and GCP.
Provide architecture governance, technology evaluation, and best practice recommendations.
Lead cross-functional teams including data engineers, analysts, developers, and business users.

 Designed and implemented enterprise-wide Data Governance, Data Quality, and Master Data Management (MDM) solutions, enabling
trusted, compliant, and business-ready data across multiple domains.
 Architected Data Quality frameworks using Collibra DQ, leveraging Data Sources, Business Rules, Catalog Items, Scorecards, and
Monitoring Projects to improve data accuracy, completeness, and consistency.
 Led Data Profiling, Cleansing, Standardization, Validation, and Match & Merge initiatives using advanced transformation techniques
and custom quality rules.
 Implemented enterprise MDM solutions using Reltio, including data modeling, survivorship strategies, matching rules, workflows,
Reference Data Management (RDM), and integration frameworks.
 Established Data Governance operating models, policies, standards, stewardship processes, and controls aligned with regulatory and
organizational requirements.
 Developed and integrated Business Glossaries, Critical Data Elements (CDEs), Metadata Repositories, and Data Lineage capabilities
using Collibra Data Intelligence Platform (DIP).
 Designed scalable data integration and ingestion architectures using REST APIs, JSON, Micro services, and cloud-based data pipelines.
 Delivered enterprise Data Cataloging, Metadata Management, Data Classification, Data Discovery, and Lineage solutions across hybrid
and cloud environments.
 Strengthened data integrity, regulatory compliance, and risk management through governance controls, data quality monitoring, and
security best practices.
 Collaborated with business leaders, data owners, stewards, architects, analysts, and security teams to drive governance adoption and
data-driven decision-making.
 Conducted governance maturity assessments, identified process gaps, and implemented continuous improvement initiatives to
enhance operational efficiency.
 Enabled self-service analytics, data products, and data marketplace capabilities, improving data accessibility and business value
realization.
 Led cross-functional teams through the complete project lifecycle, including solution architecture, roadmap planning, delivery
management, stakeholder engagement, and risk mitigation.
 Provided executive-level reporting on project health, financials, resource utilization, risks, and strategic outcomes while driving best
practices across Data Governance, Data Quality, Metadata Management, and Enterprise Data Platforms.
 End to end Data Governance Capability to drive strategy to implementation Level.

as IT Architect