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Data Modernization Jobs in Michigan (NOW HIRING)

LRS

Data Architect

Auburn Hills, MI

$40 - $60/hr

This role offers the chance to apply your data architecture and modernization expertise in support of meaningful work for one of our client partners. Our client is looking for an experienced Data ...

Deloitte

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Collaborate with business and technical stakeholders to drive data modernization strategy. * Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns. * Provide ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Venteon

Sr. Director, Enterprise Platforms

Ann Arbor, MI · On-site

... data modernization, automation, and system optimization initiatives Partner closely with business and executive leaders to ensure technology solutions support operational requirements Manage capital ...

SME

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

Provide executive-level advisory services on AI adoption and data modernization, tailoring recommendations for both technical and non-technical stakeholders and enabling informed decision-making.

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Provide executive-level advisory services on AI adoption and data modernization, tailoring recommendations for both technical and non-technical stakeholders and enabling informed decision-making.

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

We are seeking an experienced Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google ...

V2Soft

Enterprise Data Architect

Lake Angelus, MI

Support multi‐year modernization initiatives involving cloud migration, API modernization, and data platform upgrades. Security, Compliance & Data Protection * Ensure all integrations adhere to OEM ...

United Airlines

GCP API Architect

Southfield, MI · On-site

$88K - $207K/yr

... data modernization and GCP best practices Support solution design activities including architecture reviews, estimates, and technical proposals Your Skills and Experience (Required) 10+ years of ...

Deloitte

Oracle EPM (PBCS~PCMCS) Manager

Detroit, MI

Advising clients on finance process improvement opportunities enabled by Oracle EPM, data modernization, and AI-driven insights * Coaching junior team members while supporting quality delivery, issue ...

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Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and strategic planning, along with strong industry reputation and sometimes equity compensation.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics practices to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
What are popular job titles related to Data Modernization jobs in Michigan? For Data Modernization jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Michigan look for? The top searched job categories for Data Modernization jobs in Michigan are:
Data Modernization jobs near you

Data Architect

LRS

Auburn Hills, MI

$40 - $60/hr

Other

Posted 12 days ago

Job description

Job Description Codeworks, an LRS company, is seeking a Data Architect for a hybrid contract opportunity. This role offers the chance to apply your data architecture and modernization expertise in support of meaningful work for one of our client partners. Our client is looking for an experienced Data Architect to support the design and delivery of large-scale data modernization initiatives, with a primary focus on migrating ETL processes from legacy systems to modern data platforms.

This role emphasizes technical expertise, collaborative problem-solving, and thoughtful leadership to help teams design scalable, efficient, and adaptable data architectures that support evolving organizational needs. Design and support the architecture and implementation of ETL migrations from legacy systems to modern data platforms, such as cloud-based or next-generation data ecosystems. Establish and apply architectural standards, frameworks, and best practices for data engineering and integration.

Design scalable, high-performance data pipelines and workflows to support enterprise-level data processing. Provide technical guidance and knowledge sharing to data engineers, ETL developers, and cross-functional team members. Evaluate, recommend, and help implement modern ETL and data integration technologies.

Develop and support automation strategies to streamline data workflows, deployment processes, and monitoring. Collaborate with business and technical stakeholders to translate requirements into effective data architecture solutions. Help ensure data quality, governance, security, and compliance across data platforms.

Contribute to continuous improvement in data architecture approaches, including the adoption of modern tools, patterns, and methodologies. Required Qualifications Professional experience in data architecture, data engineering, or related roles. Strong working knowledge of database systems (relational and/or NoSQL) and data modeling principles.

Demonstrated experience designing, developing, or migrating ETL processes from legacy systems. Hands-on experience with modern ETL or data integration tools and frameworks, including cloud-native or distributed data processing solutions. Experience supporting large-scale data processing and performance optimization.

Experience developing or applying data architecture frameworks and standards. Working knowledge of automation, orchestration, and CI/CD practices in data environments. Ability to evaluate technical trade-offs and contribute to informed decision-making in complex environments.

The base range for this contract position is $40.00 - $60.00 per hour, depending on experience. The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations

Individual pay is determined by work location and additional job-related factors. Codeworks, an LRS company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.

In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications.

All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.

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