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Principal Data Architect- Data Modelling Job Opening In New Delhi – Now Hiring Confidential


Job description

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

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

Required Skill Profession

Computer Occupations


  • Job Details

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