Senior Data Architect

3 days ago

Guntur, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description:

Data Manager plays a pivotal role in shaping the data strategy for our aviation business. This key position oversees the design, implementation, and governance of data assets to ensure they are structured, accessible, and trusted across the organization.

This individual will lead end-to-end data lifecycle management, from acquisition and modelling to cataloguing and governance. They will design and maintain complex data models that support aviation operations and analytics.

The successful candidate will manage metadata and data catalogue tools to ensure discoverability and lineage tracking. Delivering scalable and secure data products on cloud platforms such as AWS or Azure is also an essential part of this role.

The ideal candidate will possess foundational data transformation techniques using SQL and Python to prepare data for consumption. Strong collaboration skills are required to work with cross-functional teams to define data requirements and ensure alignment with business goals.

Required Skills and Qualifications:
  • Proven experience in data management and governance across all stages of the data lifecycle.
  • Deep understanding and hands-on experience with complex data modelling techniques.
  • Proficiency in metadata management and data cataloguing tools.
  • Demonstrated delivery of data products within cloud ecosystems (AWS or Azure).
  • Strong SQL and Python skills for data manipulation and transformation.
  • Excellent communication and stakeholder management capabilities.
  • Customer-centric mindset with a pragmatic approach to value delivery and execution.
  • Strong attention to detail and a commitment to data excellence.
  • Solid business acumen and ability to align data initiatives with strategic objectives.
Domain Expertise:
  • Experience working with SAP ERP and MDG systems, particularly in master data governance and enterprise resource planning.
  • Deep understanding of the aviation business landscape and ability to contextualize data to drive insights and innovation.
  • Knowledge and experience of commercial aspects of Aviation industry.
  • Understanding of customer location profitability, pricing strategies and its impact on commercial performance.

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