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

Minimum 16 years of experience
Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies.
Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases.
Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server) • Good understanding of Relational, Dimensional, Data Vault Modelling
Experience in implementing 2 or more data models in a database with data security and access controls.
Good experience in OLTP and OLAP systems
Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources.
Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)
Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
Understanding of DevOps processes
Hands-on experience in one or more Data Modelling Tools
Good understanding of one or more ETL tool and data ingestion frameworks
Understanding of Data Quality and Data Governance
Good understanding of NoSQL Database and modeling techniques
Good understanding of one or more Business Domains
Understanding of Big Data ecosystem
Understanding of Industry Data Models
Hands-on experience in Python
Experience in leading the large and complex teams
Good understanding of agile methodology

Principal Data Architect- Data Modelling