Azure Data Architect

Mid / Senior

|

In Office

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About This Workplace

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About the company

Our organization is dedicated to delivering innovative AI-driven solutions that provide our clients with a competitive edge. We specialize in assisting enterprises in the Healthcare and Software and Digital Platforms sectors to embark on transformative AI journeys.

As a globally recognized, award-winning AI firm, we offer a wide range of digital transformation services powered by AI, including:

• AI development and management: Assisting organizations in leveraging Generative and AI technologies for transformation.

• Data, Analytics & AI Services: Utilizing data and AI to drive decision-making and innovation, preparing data estates for AI integration.

• Solution Development and Modernization: Creating advanced, customized solutions tailored to specific business needs.

Experience – 10 to 14 Years

Job Description:

  • Excellent verbal and written communication; ability to confidently engage with clients.
  • Proven experience delivering 5+ enterprise-level data projects (10+ years overall experience).
  • Strong expertise in:
  • SQL Server & Azure SQL Database
  • Azure Data Factory (ADF), Databricks, PySpark
  • ETL design, schema modelling, Data Quality frameworks, Medallion Architecture
  • Database schema & data modelling on RDBMS and Azure Data Platform
  • Databricks Unity Catalog and Lakehouse architecture
  • At least 2+ projects (3+ years) of experience in:
  • Azure Synapse Analytics (SQL DW)
  • Azure Data Lake/Blob Storage
  • Microsoft Fabric components (including Lakehouse)
  • Designing large-scale data storage and pipeline solutions
  • Experience managing high-volume, large, and varied datasets.
  • Define, design, and implement scalable data architecture solutions on Azure.
  • Understand business and technical requirements, proactively clarify assumptions, and deliver optimal solutions.
  • Interact effectively with customer Business and IT teams, providing technical leadership and solution presentations.
  • Lead the design of ETL pipelines, database schemas, and data models across RDBMS, Data Lakes, and Data Warehouses using Medallion Architecture.
  • Program and optimize DB objects (Views, Stored Procedures, Functions) for performance and scalability.
  • Architect and implement solutions with Azure Data Services for large, complex, and high-volume datasets.
  • Guide and mentor Leads and Developers, enforcing best practices in design and coding.
  • Ensure data solutions meet performance, security, and compliance standards following the Azure Well-Architected Framework (WAF).
  • Collaborate in Agile and Waterfall environments, adapting to evolving project requirements.
  • Provide innovative ideas and modern solutions for continuous improvement

Key Skills: Azure Data Factory (ADF), Databricks, PySpark, SQL, ETL design, Azure Data Lake, Python.

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