Lead Data Architect

9 hours ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 20,00,000 - ₹ 35,00,000

Job Description

A Lead Data Architect is required to work with a team of experts to design and implement highly scalable data capture and transformation processes. The ideal candidate will have experience in data modeling, ETL/ELT, and working with distributed and relational database technologies.

Key Responsibilities

  • 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 datasets and guide the team in creating source to target mapping and data dictionaries, capturing all relevant details.
  • Profile datasets to generate relevant insights.
  • Define data modelling best practices and ensure implementation of best practices across projects.
  • Optimize the data models and work with the data engineers to define ingestion logic, ingestion frequency, and data consumption patterns.
  • Work with QE teams to define the right testing strategy.
  • Drive automation in modeling activities.
  • Collaborate with business stakeholders, data owners, business analysts, and architects to design and develop next-generation data platforms.

Required Skills and Qualifications

  • 10+ years of experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services (Oracle, IMB DB2, GCP).
  • 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 (e.g. AWS, Azure, GCP).
  • 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.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Proven ability to lead and drive projects and assignments to completion.
  • Exposure to data modeling tools (ERwin, Power Designer, Business Glossary, ER/Studio, Enterprise Architect, MagicDraw).

Benefits

This role offers the opportunity to work with a talented team of professionals, driving innovation and excellence in data management.

Others

The successful candidate will be expected to contribute to the development of a comprehensive data strategy, aligning with business objectives and industry trends.

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