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Azure Data Architect
NA
Vdart Software Services Pvt Ltd's logo

Azure Data Architect

at NA

17 - 20 yrs
₹30L - ₹55L / yr
Remote only
Skills
Data modeling
ADF
databricks
PySpark
SQL
JSON

Company Description

VDart is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.


Role Description

We are looking for a seasoned data leader to design, build, and own enterprise-scale data platforms on Azure. This role goes beyond development — it requires end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness.

You will act as the critical link between business stakeholders, data engineering teams, and analytics functions, ensuring scalable and high-performance data solutions are delivered and maintained.


Key Responsibilities:

  • Design and implement robust data pipelines using Azure Data Factory (ADF), including integration with REST APIs and external data sources
  • Build scalable data transformation workflows using Databricks (PySpark), handling complex and nested JSON datasets
  • Architect and implement Delta Lake-based data platforms, including fact and dimension models (star schema)
  • Define and enforce best practices for data modeling, performance optimization, and cost efficiency
  • Own end-to-end data platform lifecycle — from architecture and deployment to monitoring and operational support
  • Establish production readiness frameworks, including logging, alerting, and data quality checks
  • Collaborate closely with business and analytics teams to translate requirements into scalable technical solutions
  • Mentor engineering teams and drive architectural governance across projects 


Required Experience & Skills:


•                Experience building pipelines with Azure Data Factory 

•                Experience connecting to REST API sources using Azure Data Factory 

•                Experience building transformations with Databricks using PySpark 

•                Experience handling complex nested JSON files using PySpark 

•                Experience designing dimensional models/star schema 

•                Experience implementing facts and dimension tables in Databricks Delta Lake 

•                Around 15-20 years of solid experience in building, managing, and optimizing enterprise data platforms with at least 5 years in Azure cloud data services

•                Act as a bridge between business, data engineering, and analytics teams to ensure requirements are clearly understood and implemented correctly

•                Own end-to-end production readiness of the data platform, including architectural design, deployment patterns, monitoring strategy and operational support.

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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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