Azure Data Architect

This is a remote position.

Overview

We are seeking an experienced Azure Data Architect to design and lead enterprise data architecture, cloud modernization, and data platform initiatives. The ideal candidate will have strong Azure expertise, hands-on knowledge of modern data platforms, and the ability to translate business requirements into scalable, secure, and high-performing data solutions.

Key Responsibilities

• Define enterprise data architecture, technology strategy, standards, and roadmap.
  

• Design scalable Azure-based Data Lake, Data Warehouse, and Lakehouse solutions.
  

• Lead data modernization and migration initiatives from on-premise to Azure.
  

• Design data integration, ingestion, transformation, and processing architectures.
  

• Provide technical leadership across Azure Data Factory, Databricks, Synapse, ADLS, and Microsoft Fabric.
  

• Define data modeling, ETL/ELT, data pipeline, and integration patterns.
  

• Establish data governance, security, quality, metadata, and lineage frameworks.
  

• Evaluate architecture options for scalability, performance, reliability, and cost optimization.
  

• Collaborate with data engineers, analysts, developers, QA teams, and business stakeholders.
  

• Review technical designs, provide architectural guidance, and ensure adherence to enterprise standards.
  

• Identify technical risks and dependencies and recommend appropriate architecture and mitigation strategies.
  

Requirements

Required Skills

• Proven experience as a Data Architect / Azure Data Architect.
  

• Strong hands-on experience with Microsoft Azure data services.
  

• Expertise in Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks, and SQL.
  

• Strong knowledge of Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and Data Modeling.
  

• Experience with Python, PySpark/Spark, and large-scale data processing.
  

• Strong understanding of data integration, APIs, batch and real-time data pipelines.
  

• Experience with data governance, security, quality, metadata, and lineage.
  

• Strong architecture, problem-solving, stakeholder management, and communication skills.
  

Benefits