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

• 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

You are important to us, let’s stay connected!Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Perks and benefits