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Azure Data Jobs in Chicago, IL (NOW HIRING)

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead the implementation and operation of Microsoft Azure-based data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. Manage development ...

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

... Azure functions, Azure Data Factory or AWS Glue. • Experience with data migration platforms like Syniti or data stage. • Experience with at least one of the data quality products, like ...

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on specific technologies and methodologies for ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Strong exposure to cloud-based solution design and implementation, particularly within the Azure ecosystem, Databricks and ADF * Large-Scale Data Architecture & Design: * Experience in designing and ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus. * Strong problem-solving, analytical, and communication skills. * Ability to work independently and in ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus. * Strong problem-solving, analytical, and communication skills. * Ability to work independently and in ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus. * Strong problem-solving, analytical, and communication skills. * Ability to work independently and in ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus. * Strong problem-solving, analytical, and communication skills. * Ability to work independently and in ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

... Azure environments • Provision Azure resources using Pulumi • Participate in code reviews ... Azure Data Factory (pipelines, triggers, monitoring) • Databricks (Delta Lake, workflows ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Showing results 41-60

Azure Data information

See Chicago, IL salary details

$11

$60

$82

How much do azure data jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for azure data in Chicago, IL is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $67.60 per hour, depending on experience, location, and employer.

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

What are the key skills and qualifications needed to thrive as an Azure Data professional, and why are they important?

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What is an Azure Data job?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.
Infographic showing various Azure Data job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,138 per year, or $60.2 per hour.

Urgent need on Data Solutions Architect (Azure Databricks / Retail / CPG), Chicago, IL

Parmesoft Inc.

Chicago, IL • On-site

Other

Posted 26 days ago


Job description

!!! VERY URGENT REQUIREMENT !!!

Data Solutions Architect (Azure Databricks / Retail / CPG)

Location: Chicago (Hybrid)

Duration: 6-12 Months

 

Client wants the Consultant to relocate to Chicago, IL and work 100% onsite from Day 1

 

We are seeking an experienced Data Solutions Architect to lead the design and delivery of enterprise-scale cloud data platforms for Retail and Consumer Packaged Goods (CPG) clients. This role combines deep technical expertise with strong consulting and stakeholder management skills to architect scalable, secure, and business-aligned data solutions. The ideal candidate will have extensive experience designing modern data platforms using Microsoft Azure and Databricks, with strong proficiency in Python, SQL, Apache Spark, and Data Modelling. The successful candidate will work closely with business leaders, enterprise architects, engineering teams, and client stakeholders to define data strategies, solution architectures, and implementation roadmaps that enable advanced analytics, AI/ML, customer insights, and operational excellence.

Key Responsibilities

Solution Architecture & Strategy

  • Design end-to-end cloud-native Data & AI platforms leveraging Azure, Databricks, Snowflake, AWS & Google Cloud Platform & Gemini Enterprise.
  • Define target-state data architecture aligned to business objectives and enterprise technology strategy.
  • Develop architecture blueprints, reference architectures, solution patterns, and technology roadmaps.
  • Lead architecture discussions with client executives, enterprise architects, and engineering teams.
  • Translate business requirements into scalable technical solutions.

Technical Leadership

  • Architect enterprise data lakes, lakehouses, data warehouses, and analytical platforms.
  • Define scalable ingestion, transformation, storage, and serving patterns for data & analytical products.
  • Lead architectural decisions around batch, streaming, real-time analytics, and AI-ready data platforms.
  • Establish reusable design patterns, standards, governance, and engineering best practices.
  • Guide engineering teams throughout implementation and provide technical leadership.

Retail / CPG Domain Consulting

  • Design data platforms supporting Retail and CPG use cases, such as Customer 360 & MDM, Sales & Commercial Analytics, Demand Forecasting, Supply Chain Visibility, Inventory Optimization, Trade Promotion Management, Marketing Analytics etc.
  • Collaborate with business stakeholders to identify opportunities for data-driven transformation.

Required Technical Skills

·        Cloud & Data Platforms: Microsoft Azure, Databricks, Azure Data Factory, ADLS Gen2, Azure Key Vault, Azure DevOps

·        Programming & Data Engineering: Python, SQL, Apache Spark (PySpark), Delta Lake, ETL / ELT,Data Modelling (Conceptual, Logical & Physical)

·        Architecture: Enterprise Data Architecture, Modern Data & AI Platform Design, Data Acquisition & Integration, API-based Integration, Batch & Streaming Architectures, Data Security & Identity, Performance Optimisation, Solution Design Documentation

 

Preferred Skills

Databricks Unity Catalog, Federation Design, Snowflake, AWS (S3, Glue, Lambda, EMR, Redshift), Data Governance & Data Management frameworks (e.g., DAMA-DMBOK), Lakeflow Designer, Genie, Lakebase, Master Data Management (MDM), Data Quality Frameworks, Terraform, CI/CD using Azure DevOps, REST API integration, AI/ML platform architecture, GenAI and Large Language Model (LLM) integration patterns, Gemini Enterprise integration etc.

Experience

  • 12+ years of experience in Data Analytics & AI including 8+ years relevant designing enterprise cloud data platforms.
  • Proven experience architecting Azure Databricks solutions including new Databricks offerings
  • Strong consulting and client-facing experience.
  • Experience leading geographically distributed engineering teams.
  • Experience delivering enterprise-scale transformation programs.
  • Retail or Consumer Packaged Goods (CPG) industry experience is essential.

 Thanks & Regards,

 

Steve

Sr. Manager Recruitment’s

___________________

Parmesoft, Inc

2626 Cole Ave, Ste: 300

Dallas, TX 75204