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Manager Data Engineering Jobs in Wisconsin (NOW HIRING)

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise ... Metadata management and lineage systems Ensure architectural consistency across environments ...

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

... to manage multiple tasks and prioritize effectively in a collaborative environment Eagerness to learn new technologies and grow within a data engineering career path If you meet the above ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... manage data infrastructure components including databases, data warehouses, data lakes, and ... engineering, information systems, or related field or equivalent experience; master's degree ...

They are seeking a Data Solution Architect to design and implement scalable data engineering ... manage hybrid analytics workloads using Azure Cloud infrastructure, including networking and ...

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... data engineering practices MINIMUM KNOWLEDGE, EXPERIENCE & SKILLS REQUIREMENTS: • Bachelor ... manage multiple activities simultaneously • Excellent communication skills • Able to work ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

... management skills Preferred Qualifications * Experience with large-scale enterprise data platforms * Exposure to real-time or streaming data architectures * Knowledge of DevOps / CI-CD practices for ...

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Showing results 1-20

Manager Data Engineering information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do manager data engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for manager data engineering in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Wisconsin? The most popular types of Data Engineering jobs in Wisconsin are:
What are popular job titles related to Manager Data Engineering jobs in Wisconsin? For Manager Data Engineering jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Manager Data Engineering jobs? Cities in Wisconsin with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Wisconsin as of June 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.
Director, Analytics, Data Engineering

Director, Analytics, Data Engineering

Quad

Sussex, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Quad rating

6.8

Company rating: 6.8 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

412th of 520 rated manufacturers


Job description


General Purpose of Job:
The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural leadership across data ingestion, transformation, storage, governance, security, and activation platforms to ensure scalability, reliability, and long-term sustainability of the organization's data ecosystem.
This individual serves as the senior technical authority for data platform design, establishing standards, patterns, and frameworks that enable advanced analytics, modeling, business intelligence, and client delivery. The Director ensures that all data systems are architected for performance, interoperability, compliance, and cost efficiency while anticipating future growth and technological evolution.
The role partners closely with Analytics, Information Security, Software Development, Product developers, and executive leadership to align architectural decisions with enterprise strategy and client needs.
Location: 4 days in office, Chicago or Sussex
Please note: This position is not eligible for visa sponsorship, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship. Candidates must be authorized to work in the United States without current or future immigration sponsorship.
Key Responsibilities:
Enterprise Data Architecture Strategy
Define and maintain the long-term architectural vision for the Quad/Rise Data Stack, including cloud data platforms, pipeline frameworks, governance layers, and integration strategies. Establish scalable, modular, and secure architecture patterns.
Platform & Infrastructure Design
Design and oversee implementation of:
  • Enterprise data warehouse architecture
  • Distributed processing frameworks
  • Real-time and batch data ingestion pipelines
  • API and data-sharing architectures
  • Metadata management and lineage systems

Ensure architectural consistency across environments (development, staging, production).
Standards & Engineering Governance
Establish enterprise standards for:
  • Data modeling and schema design
  • Pipeline orchestration
  • Code quality and version control
  • Documentation and lineage
  • Observability and monitoring

Drive adoption of best practices across engineering teams.
Scalability & Performance Optimization
Ensure systems are designed for high availability, resilience, and performance at scale. Lead capacity planning, workload optimization, and cost management initiatives across cloud infrastructure.
Data Governance & Compliance Alignment
Partner with Information Security and Compliance teams to embed governance, access controls, encryption standards, and auditability into architectural frameworks. Ensure designs support regulatory requirements and enterprise risk management policies.
Cross-Functional Collaboration
Work closely with:
  • Data Science and Analytics teams to enable advanced modeling and experimentation
  • Software Engineering teams to integrate analytics platforms into client-facing solutions
  • Product teams to translate business requirements into scalable technical designs

Act as the architectural liaison between business stakeholders and technical teams.
Technology Evaluation & Innovation
Continuously evaluate emerging technologies, tools, and methodologies to enhance platform capabilities. Lead proof-of-concept initiatives and guide build-versus-buy decisions.
Organizational Leadership
Mentor senior engineers and managers. Develop architectural talent within the Data Engineering function. Influence technical direction without direct ownership of all implementation teams.
Executive Communication
Provide architectural roadmaps, risk assessments, and investment recommendations to executive leadership. Translate complex system design concepts into business-aligned strategy discussions.
Education:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required.
Master's degree preferred.
Experience:
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture.
Minimum of 5+ years designing large-scale cloud-based data platforms.
Demonstrated experience leading architectural strategy across multiple teams or business units.
Experience in media, marketing analytics, or high-volume consumer data environments is a plus.
Certificates, Licenses, Registrations:
Preferred certifications:
  • Cloud Architecture Certification (AWS, Azure, or GCP)
  • Snowflake Architect Certification
  • Certified Data Management Professional (CDMP)
  • TOGAF or equivalent enterprise architecture certification

Knowledge, Skills & Abilities:
Deep knowledge of:
  • Cloud-native data architectures
  • Lakehouse and warehouse platforms
  • Distributed computing (e.g., Spark)
  • Data orchestration frameworks
  • API-driven data integration
  • CI/CD for data platforms

Strong understanding of data lifecycle management and system interoperability.
Technical Language/Platform:
T-SQL, PySpark, Snowflake, cloud-native services (AWS/Azure/GCP), orchestration tools, infrastructure-as-code frameworks.
Systems Thinking:
Ability to design cohesive systems across multiple technologies and teams while balancing performance, cost, risk, and scalability.
Leadership & Influence:
Proven ability to influence technical strategy across cross-functional teams without direct reporting authority. Strong mentorship capabilities.
Communication Skills:
Exceptional ability to communicate architectural vision, tradeoffs, and risk clearly to technical and executive stakeholders.
Organizational Skills:
Ability to manage multi-year roadmaps, platform migrations, and complex modernization initiatives.
Strategic Orientation:
Forward-thinking mindset with the ability to anticipate scaling challenges, emerging technologies, and evolving business requirements.
Employees can be expected to be paid an annualized salary range of $122,040-$170,000 base plus bonus, based on variations in knowledge, skills, experience, and market conditions.
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About Us
Rise is an award-winning, full-service Media Agency of Record that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core, specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing.
We offer "Risers" the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency. We're looking for talent like you who can continue to elevate our work and culture.
About the Team
We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits.
Rise and Quad are proud to be equal opportunity employers. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Rise and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Rise and Quad also prohibit harassment of applicants and employees based on any of these protected categories.
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