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Data Analytics Architect Jobs in Chicago, IL (NOW HIRING)

Halo Group

Data Analytics Architect

Deerfield, IL

Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data ...

Photon

Analytics Architect | USA

Chicago, IL · On-site

Data Strategy Development : Define and implement the organization's data analytics strategy aligned with business goals. Identify and prioritize key analytics projects to optimize decision-making and ...

New

Photon

Analytics Architect | USA

Chicago, IL · On-site

Data Strategy Development : Define and implement the organization's data analytics strategy aligned with business goals. Identify and prioritize key analytics projects to optimize decision-making and ...

New

Cengage Learning, Inc.

Sr Analytics Architect

Chicago, IL · On-site

$69.25 - $92.75/hr

Architect and implement modern cloud-based analytics solutions to improve business outcomes ... Analyze existing data flows, transformations, and dependencies to support future enhancements ...

Munich Re

Data and AI Enterprise Architect

Lisle, IL · On-site

Enterprise Architects provide technical leadership across analysis, design, facilitation, and execution , supporting the evolution of enterprise Data, Analytics, and AI capabilities and the ...

Digital Links Inc

Data Architect

Naperville, IL · On-site

$63.75 - $82/hr

This hands-on Data Architect role will define the data architecture that powers Wealth Management analytics while partnering with engineers, analysts, and business stakeholders. You'll establish ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... Provides architecture direction for engineers in support of a technical pattern. * Drives ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... Provides architecture direction for engineers in support of a technical pattern. * Drives ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... Provides architecture direction for engineers in support of a technical pattern. * Drives ...

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All JobsData Analytics Architect JobsData Analytics Architect Jobs in Chicago, IL

Data Analytics Architect information

See Chicago, IL salary details

$157.7K

$184.3K

$208.2K

How much do data analytics architect jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analytics architect in Chicago, IL is $184,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $170,600.00 and $197,400.00 per year, depending on experience, location, and employer.

What is a data analytics architect?

A Data Analytics Architect designs and implements data infrastructure, ensuring efficient data processing, storage, and analysis to support business intelligence and decision-making. They work with data engineers, analysts, and stakeholders to create scalable data solutions and optimize system performance. Their role involves selecting technologies, defining data models, and ensuring data security and governance.

What are the key skills and qualifications needed to thrive as a data analytics architect?

A Data Analytics Architect requires strong expertise in data modeling, analytics platforms, and database management, often backed by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud services (AWS, Azure, Google Cloud), along with certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is highly beneficial. Excellent problem-solving skills, communication abilities, and the capacity to collaborate across multidisciplinary teams distinguish top performers. These competencies are vital for designing effective analytics solutions, ensuring data integrity, and translating business needs into actionable data strategies.

What are the typical career advancement opportunities for a data analytics architect?

Data Analytics Architects often find excellent career growth opportunities within organizations, as their expertise in designing data frameworks is highly valued. With experience, many progress to senior or principal architect roles, chief data officer positions, or transition into broader leadership roles in data engineering or analytics strategy. Continuous learning and staying updated with emerging technologies, such as machine learning platforms and cloud-based analytics, also open doors to specialized roles. Working in this position exposes professionals to both technical challenges and business strategy, setting a strong foundation for advancement.

What are the most commonly searched types of Data Analytics Architect jobs in Chicago, IL?

The most popular types of Data Analytics Architect jobs in Chicago, IL are:

What are popular job titles related to Data Analytics Architect jobs in Chicago, IL?

For Data Analytics Architect jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Architect jobs in Chicago, IL look for?

The top searched job categories for Data Analytics Architect jobs in Chicago, IL are:

Data Analytics Architect jobs near you
Infographic showing various Data Analytics Architect job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $184,278 per year, or $88.6 per hour.

Data Analytics Architect

Halo Group

Deerfield, IL

Full-time

Re-posted 28 days ago

Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Job Description

Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
This is a Great Opportunity because -
Participant on team responsible for corporate Big Data platform and Data Engineering solution
Employ a variety of languages and tools to integrate and automate systems
Create and secure reliable data layers using reusable components
Interaction and partnership with teams both in the US and abroad.
Continuous automation and deployment mindset
Perform tuning and operational troubleshooting
Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
Establish development framework to speed up deployment and automation of Big Data solutions.
Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
Contribute to protecting data assets by assuring corporate data principles are successfully me

Qualifications

Minimum Requirements:
5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
Development / Scripting experience with languages such as Go, Java and Bash.
Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
Experience in the retail, distribution and/or manufacturing sector
Data modelling certification, Tableau experience and/or Machine Learning experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

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