Principal Data Architect

Data Discovery & Strategy

• Analyze and assess legacy data sources, including spreadsheets, documents, and disconnected systems, to uncover business rules, data relationships, and process dependencies.
• Conduct data profiling and quality assessments to identify inconsistencies, duplication, and structural issues before migration.
• Define Golden Record and master data management strategies to ensure consistency across multiple systems.
• Develop Source-to-Target Mapping (STTM) documents and transformation specifications for integration and orchestration teams.
• Establish metadata management, governance, and version control frameworks to support long-term data integrity.

Enterprise Data Modeling

• Design and maintain robust relational data models (3NF) to support transactional and operational business processes.
• Architect modern Data Warehouse, Lakehouse, Star Schema, Snowflake Schema, or Data Vault solutions to enable enterprise reporting and analytics.
• Define scalable and extensible data structures that support future system integrations and evolving business requirements.
• Implement data lineage, auditing, and traceability frameworks to ensure complete visibility from source to consumption.

Data Migration & Modernization

• Lead the architecture and migration strategy for historical and active data from legacy systems into modern cloud-based platforms.
• Design data transformation rules, migration approaches, and validation mechanisms to ensure data accuracy and consistency.
• Collaborate with Solution Architects, Business Analysts, and Engineering teams to align data architecture with broader technology objectives.
• Provide technical guidance and business-rule definitions to integration and orchestration teams.

Technical Leadership

• Serve as the organization's subject matter expert and decision-maker for data architecture, modeling, governance, and migration initiatives.
• Anticipate and mitigate data quality, consistency, and schema-evolution challenges across complex environments.
• Promote best practices in enterprise data management, cloud architecture, and data governance.
  • Translate business challenges into scalable technical solutions and implementation roadmaps.