Principal Data Architect

7 days ago

Bengaluru Chennai Hyderabad, India Tiger Analytics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities


• Minimum 15 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


• Extensive expertise in leading data transformation initiatives, driving cultural change, and promoting a data driven mindset across the organization.


• Excellent Communication skills


• 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.

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