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Data Solutions Developer Jobs in Milwaukee, WI (NOW HIRING)

Russell Investments

Principal Data Architect

Milwaukee, WI · Hybrid

$160K - $190K/yr

You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases. Key ...

Pwc

AI Solutions Engineering Delivery Lead

Milwaukee, WI · On-site

$101K - $133K/yr

... robust data solutions for clients. They play a crucial role in transforming raw data into ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

... robust data solutions for clients. They play a crucial role in transforming raw data into ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Mentor data architects, engineers, and BI developers. * Ensure adherence to enterprise architecture standards, security policies, and compliance requirements. * Support pre-sales, solution estimation ...

Aperia Technologies

Solutions Engineer, Remote

Racine, WI · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... engineering focus on leveraging advanced technologies and techniques to design and develop ... robust data solutions for clients. They play a crucial role in transforming raw data into ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

... engineering focus on leveraging advanced technologies and techniques to design and develop ... robust data solutions for clients. They play a crucial role in transforming raw data into ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and data transformation solutions. As a Senior Associate, you will build meaningful client ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills. Key Responsibilities: * Data Engineering: Develop ...

Generac

Senior Data Architect

Waukesha, WI

$67.25 - $90/hr

Coach and mentor engineers on data architecture best practices through design reviews, code reviews, and technical guidance * Clearly explain complex technical solutions to both technical and ...

New

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog * Lead and ... Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ...

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Showing results 21-40

All JobsData Solutions Developer JobsData Solutions Developer Jobs in Milwaukee, WI

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.
What are popular job titles related to Data Solutions Developer jobs in Milwaukee, WI? For Data Solutions Developer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Solutions Developer jobs in Milwaukee, WI look for? The top searched job categories for Data Solutions Developer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Data Solutions Developer jobs? Cities near Milwaukee, WI with the most Data Solutions Developer job openings:
Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Principal Data Architect

Russell Investments

Milwaukee, WI • Hybrid

$160K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

Salary Range:$160,000 USD - $190,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

Principal Data Architect - Data Platforms

Russell Investments is seeking a hands-on Principal Data Architect to design and build modern data platforms across our enterprise. This role is focused on practical architecture, data modeling, and platform implementation in a hybrid (on-prem + cloud) environment.

You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases.

Key Responsibilities

  • Design and implement scalable data architectures, models, and pipelines for analytics and operational use cases.
  • Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure).
  • Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure performance, consistency, and reuse.
  • Execute migration of legacy systems (SQL Server, on-prem) to cloud-based architectures, including hybrid patterns.
  • Implement data quality, MDM, and governance standards directly within data pipelines and models.
  • Enable AI/ML use cases by designing reliable, well-structured, and observable data pipelines.
  • Collaborate with engineering and analytics teams to deliver production-ready data solutions and guide technical design.

Qualifications

Required:

  • 10+ years of hands-on experience in data architecture or data engineering
  • Strong expertise in SQL and relational databases (SQL Server preferred)
  • Strong experience with Snowflake
  • Experience building data pipelines using DBT (3+ years preferred)
  • 5+ years of Proven experience designing and implementing cloud data platforms (Azure preferred)
  • Deep knowledge of data modeling (3NF, dimensional, Data Vault)
  • Experience with data warehouse/lakehouse design and optimization
  • Hands-on experience with data migration and hybrid architectures
  • Excellent communication and stakeholder management across technical and business domains with a demonstrated ability to translate architecture into business outcomes.

Preferred:

  • Experience with Databricks, Spark, or Python
  • Familiarity with data quality, observability, and governance tools
  • Exposure to AI/ML data pipelines or MLOps frameworks
  • Financial services or investment domain experience

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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