azure Data Architect

  • Chicago, IL
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
$70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

azure
Data Bricks

Job Details

Job Title: Azure Data Architect

Location: Chicago, IL (Hybrid

Requirements:

We are seeking an experienced Azure Data Architect with strong expertise in Databricks to design, implement, and optimize scalable cloud-based data solutions. The ideal candidate will have hands-on experience with Azure data services, modern data architectures, data lakehouse concepts, and advanced analytics platforms. You will play a key role in shaping enterprise-wide data strategies, ensuring governance, and enabling data-driven decision-making.

Key Responsibilities

  • Design and implement end-to-end data architecture leveraging Azure services (AzureData Lake, Synapse Analytics, Data Factory, Databricks, Cosmos DB, etc.).
  • Build and optimize data pipelines for batch and real-time ingestion, transformation, and processing using Databricks.
  • Define and enforce data modeling, data governance, and metadata management standards.
  • Collaborate with business stakeholders, data engineers, and data scientists to align architecture with organizational goals.
  • Implement scalable lakehouse solutions combining structured and unstructured data for analytics and AI/ML workloads.
  • Ensure performance, security, and compliance across all data solutions.
  • Provide technical leadership and best practices for Azure and Databricks adoption.
  • Conduct architecture reviews, capacity planning, and cost optimization on Azure.

Required Skills & Qualifications

  • 10+ years of overall IT experience, with 5+ years in Data Architecture.
  • Strong expertise in Azure Data Services (Data Factory, Data Lake Gen2, Synapse, Event Hub, Functions, Logic Apps).
  • Proven hands-on experience with AzureDatabricks (PySpark, Delta Lake, MLflow, Unity Catalog).
  • Strong understanding of data lakehouse, data mesh, and modern data architecture principles.
  • Proficiency in data modeling, ETL/ELT pipelines, and orchestration frameworks.
  • Knowledge of SQL and NoSQL databases (SQL Server, Cosmos DB, PostgreSQL, etc.).
  • Familiarity with DevOps, CI/CD, Infrastructure-as-Code (IaC) using ARM, Terraform, or Bicep.
  • Excellent problem-solving, communication, and stakeholder management skills.



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