Lead Data Architect

14 hours ago

Bharatpur, Rajasthan, India beBeeDataModeling Full time ₹ 30,00,000 - ₹ 50,00,000
Senior Data Engineer-Data Modeler Role

We are seeking a highly skilled professional to design and develop complex data models that meet the requirements of our clients.

  • Design, develop, and implement highly scalable data capture and transformation processes
  • Suggest best modeling 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
  • Define Data Modelling Best Practices and ensure implementation of Best Practices across projects

The successful candidate will work closely with cross-functional teams, including Business Stakeholders, Data Owners, Business Analysts, Architects, and Database Engineers to design and develop next-generation data platforms.

Key Responsibilities:

  • Act as principal designer and reviewer for new data models, make data architectural decisions
  • Work with the database engineering and DBAs to create optimal physical data models (transactions, normalized and dimensional models etc.)
  • Manage data modeling repository, and data modeling process and support model-driven development
  • Define and govern data modeling/design standards, tools, best practices, and related development methodologies
  • Champion Data Lineage, Metadata Management, and Data Quality Analysis processes

Requirements:

  • 10+ years of experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services
  • Solid understanding of data warehousing principles, architecture, and its implementation in complex environments
  • Good experience in OLTP and OLAP systems
  • Excellent Data Analysis skills
  • Good understanding of one or more ETL tools and data ingestion frameworks
  • Experience as a designer of complex Dimensional data models for analytics services
  • Experience with various testing methodologies and user acceptance testing
  • Experience on one or more cloud platforms
  • Understanding of Data Quality and Data Governance
  • Understanding of Industry Data Models
  • Experience in leading large teams
  • Experience with processing large datasets from multiple sources
  • Ability to operate effectively and independently in a dynamic, fluid environment
  • Good understanding of agile methodology
  • Strong verbal and written communications skills with experience in relating complex concepts to non-technical users

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