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Data Warehousing Manager Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... manage field mappings and transformations to support consistent downstream consumption. Data ... Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support ...

Data Engineer

Minneapolis, MN · Hybrid

$87K - $124K/yr

... to a cloud hosted warehouse data and develop the next generation of our data tools. Visa ... Manage time effectively to meet deadlines across multiple projects. Excellent critical thinker and ...

Data Engineer

Minneapolis, MN · Hybrid

$87K - $124K/yr

... to a cloud hosted warehouse data and develop the next generation of our data tools. Visa ... Manage time effectively to meet deadlines across multiple projects. * Excellent critical thinker ...

New

Data Engineer

Minneapolis, MN · On-site

$87K - $124K/yr

... and manage infrastructure using code (e.g., AWS CloudFormation, Terraform). • Manage time ... Job Duties • Develop and maintain Allegiant data marts and data warehouses. • Migrate Allegiant ...

Position Summary: The Data Platform Manager is a key contributor to the SPS data strategy and ... Experience with cloud data platforms and modern data warehousing technologies (e.g., Snowflake)

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... warehousing concepts - Familiarity with big data engineering tools - Proficiency in SQL and data ...

IT Data Architect Specialist_3003

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... warehousing, and data governance), market leading data platform solutions (e.g. Databricks) and ... Stay updated with developments in data management, data platforms, and data engineering, providing ...

Hands on experience in Data Engineering, Data Warehousing, ETL/ELT Development, Data Integration, or Data Management roles. * Advanced proficiency in SQL with hands-on experience in data modeling ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ... warehousing/processing concepts, performance)(5+ years) • Postgres (3+) Experience • Design ...

... management, analytics, privacy and security, data modeling, and modernization efforts across the organization. Key Responsibilities * Design, develop, maintain, and optimize enterprise data warehouse ...

New

... management, analytics, privacy and security, data modeling, and modernization efforts across the organization. Key Responsibilities * Design, develop, maintain, and optimize enterprise data warehouse ...

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Showing results 21-40

Data Warehousing Manager information

What is a data warehousing manager?

Data Warehousing Managers are professionals responsible for overseeing the design, implementation, and maintenance of data warehouse systems within an organization. They lead teams that collect, store, and manage large volumes of data from various sources to support business analytics, reporting, and decision-making. Their role often includes ensuring data integrity, optimizing system performance, and coordinating with stakeholders to meet business requirements. Data Warehousing Managers also stay updated on new technologies and best practices to enhance data management processes.

What are the key skills and qualifications needed to thrive as a data warehousing manager?

To thrive as a Data Warehousing Manager, you need expertise in database management, ETL processes, data modeling, and a relevant degree in computer science or information systems. Familiarity with data warehousing platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as proficiency in tools such as Informatica and SQL, is typically required. Strong leadership, project management, and communication skills help in coordinating teams and aligning data strategies with business goals. These skills ensure optimal data storage, accessibility, and integrity, which are crucial for informed decision-making and organizational success.

What are some common challenges faced by data warehousing managers when working with cross-functional teams?

Data Warehousing Managers often collaborate with IT, business analysts, and data scientists to ensure that warehouse solutions meet organizational needs. One common challenge is aligning data requirements across departments, as different teams may have conflicting priorities or use inconsistent data definitions. Effective communication and strong project management skills are crucial to bridging these gaps and delivering solutions that are both technically sound and aligned with business goals. Additionally, managing expectations around data quality, integration timelines, and system performance can be demanding, but proactive stakeholder engagement and clear documentation can help mitigate these issues.

What is the difference between Data Warehousing Manager vs Data Analyst?

AspectData Warehousing ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; often certifications in data warehousing or database managementBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL, Tableau)
Work EnvironmentOversees data warehouse teams, manages infrastructure, and ensures data integrity in enterprise settingsAnalyzes data sets, creates reports, and provides insights primarily using analytical tools
Employer & Industry UsageUsed in large corporations, finance, healthcare, and retail for managing large-scale data systemsCommon across industries for business intelligence, marketing, and operations analysis

The Data Warehousing Manager focuses on overseeing data storage systems, infrastructure, and team management, ensuring data is accessible and reliable. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. Both roles require strong technical skills but differ in scope and responsibilities.

Is data warehousing a good career?

Data warehousing managers oversee the design, implementation, and maintenance of data storage systems that support business intelligence and analytics. The role requires strong technical skills in database management, SQL, and data modeling, and offers opportunities in various industries with competitive salaries and growth potential. It is considered a stable and in-demand career path for those with expertise in data management and related tools.

What cities in Minnesota are hiring for Data Warehousing Manager jobs?

Cities in Minnesota with the most Data Warehousing Manager job openings:

Infographic showing various Data Warehousing Manager job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Engineer

Dlapiper

Minneapolis, MN • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Key responsibilities

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).

  • Consolidate data from multiple sources into a centralized integration point and manage field mappings and transformations to support consistent downstream consumption.

  • Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.


DLA Piper rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 35 rated law firms


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.


Responsibilities

Data Pipeline Engineering & Integration

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).

  • Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.

  • Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Data Platform & Storage

  • Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.

  • Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.

Data Quality, Reliability & Operations

  • Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.

  • Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.

Collaboration & Delivery (Agile Pod Model)

  • Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.

  • Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Desired Skills

  • Proficiency in SQL and Python.

  • Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).

  • Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.

  • Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.

  • Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.

  • The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.


Minimum Education

  • High School or GED


Preferred Education

  • Bachelor's Degree in Computer Science, Engineering, or related field.


Minimum Years of Experience

  • 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).


Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties;

  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner;

  • Provide timely, accurate, and quality work product;

  • Successfully meet deadlines, expectations, and perform work duties as required;

  • Foster positive work relationships;

  • Comply with all firm policies and practices;

  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed;

  • Ability to work under pressure and manage competing demands in a fast-paced environment;

  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.


Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.
Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.


The firm's expected hiring range for this position is $100,787 - $160,255 depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

Applicants who are not based in the jurisdiction in which this position is posted and who apply for this role are doing so voluntarily and are not eligible for relocation assistance. Any relocation benefits, if any, are provided only where a relocation is required at the firm's direction and in accordance with applicable policy and law.

#LI-GB1
#LI-Hybrid

DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.


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About DLA Piper

Sourced by ZipRecruiter

DLA Piper is one of the largest business law firms in the world and one of the most recognized law firm brands globally. Since our firms founding, we have established ourselves as an innovative and entrepreneurial firm that is deeply committed to our global core values of people, clients and community. In fact, it is the individual members of the DLA Piper teamthe combination of talented lawyers and business professionals working togetherthat define our success and drive our growth.

Industry

Legal services

Company size

5,001 - 10,000 Employees

Headquarters location

City of London, Greater London, GB