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Remote Data Warehouse Jobs in Novi, MI (NOW HIRING)

Data Architect (Remote)

Auburn Hills, MI · Remote

$65.25 - $84/hr

The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior ...

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Translate client loyalty program requirements into production-ready data warehouse structures ...

Solution Architect

Royal Oak, MI · On-site +1

$58.75 - $77.50/hr

Architect the appropriate business intelligence/data-warehousing approach for integrating from our ... Flexible work - hybrid or remote work with modern workspaces available * Health, Dental and Vision ...

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Remote Data Warehouse information

What is a remote data warehouse?

A Remote Data Warehouse job involves designing, managing, and optimizing large-scale data storage systems for businesses, all while working remotely. Professionals in this role develop ETL processes, ensure data integrity, and enhance performance for analytics and reporting. They collaborate with data engineers, analysts, and business teams using cloud-based or on-premises solutions. Strong SQL, cloud computing, and data modeling skills are essential for success in this role.

What does a typical workday look like for someone in a remote data warehouse position?

A typical day in a Remote Data Warehouse role involves designing and maintaining data pipelines, troubleshooting data quality issues, writing and optimizing complex SQL queries, and collaborating with data analysts, engineers, and business stakeholders through virtual meetings. You may spend time automating ETL processes, documenting data architecture, and ensuring performance and security of large datasets. Communication and project management occur primarily through digital tools like Slack, Jira, or Trello. This remote structure provides flexibility while requiring strong self-management and proactive communication to succeed in a globally distributed environment.

What are the key skills and qualifications needed to thrive in the remote data warehouse position?

To excel in a Remote Data Warehouse role, you need strong expertise in data modeling, ETL (Extract, Transform, Load) processes, and proficiency with database management systems such as SQL, Snowflake, or Amazon Redshift, typically supported by a relevant degree in computer science or information systems. Experience with cloud data platforms, data integration tools, and certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are essential, especially when collaborating across distributed teams. These competencies ensure efficient data management, enable seamless remote collaboration, and drive successful data-driven decision-making for organizations.

What are the most commonly searched types of Data Warehouse jobs in Novi, MI?

The most popular types of Data Warehouse jobs in Novi, MI are:

What job categories do people searching Remote Data Warehouse jobs in Novi, MI look for?

The top searched job categories for Remote Data Warehouse jobs in Novi, MI are:

What cities near Novi, MI are hiring for Remote Data Warehouse jobs?

Cities near Novi, MI with the most Remote Data Warehouse job openings:

Infographic showing various Remote Data Warehouse job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Architect (Remote)

Delan Associates, Inc

Auburn Hills, MI • Remote

$65.25 - $84/hr

Full-time

Posted 23 days ago


Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.