Data Architect

Company Description:

VDart Digital 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:

• Design, build, and own enterprise-scale data platforms on Azure

• Take end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness

• Act as a bridge between business stakeholders, data engineering, and analytics teams to deliver scalable, high-performance solutions.

Key Responsibilities:

• Design and implement data pipelines using Azure Data Factory (ADF), including REST API and external source integration

• Build data transformation workflows using Databricks (PySpark) for complex and nested JSON datasets

• Architect and implement Delta Lake-based platforms with fact and dimension models (star schema)

• Define and enforce best practices for data modeling, performance optimization, and cost efficiency

• Own the full data platform lifecycle: architecture, deployment, monitoring, and support

• Establish production readiness frameworks including logging, alerting, and data quality checks

• Collaborate with business and analytics teams to translate requirements into scalable solutions

• Mentor engineering teams and drive architectural governance

Required Experience & Skills:

• Experience building pipelines using Azure Data Factory

• Experience integrating REST APIs using Azure Data Factory

• Experience building transformations using Databricks (PySpark)

• Experience handling complex and nested JSON datasets using PySpark

• Experience designing dimensional models (star schema)

• Experience implementing fact and dimension tables in Databricks Delta Lake

• 15–20 years of experience in enterprise data platforms, with at least 5 years in Azure data services

• Ability to bridge business, data engineering, and analytics teams

• Experience owning end-to-end production readiness including architecture, deployment, monitoring, and support