Principal Data Architect- Data Modelling

Role & responsibilities

• Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.
• Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models – data warehouse etc.
• Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling.
• Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects.
• Suggest best modelling approach to the client based on their requirement and target architecture.
• Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details.
• Profile the Data sets to generate relevant insights.
• Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns.
• Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance.
• Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform.
• Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc.
• Guide / mentor team members, and review artifacts.
• Contribute to the overall data strategy and roadmaps.
• Propose and execute technical assessments, proofs of concept to promote innovation in the data space.

Preferred candidate profile

Skills Required

Solution Architecting, Data Modeling, Data Architecture, Data Warehousing, Rfp, Sql