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Data Security Jobs in Michigan (NOW HIRING)

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements

Apply Early

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements

You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and ...

You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and ...

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

Security and Compliance: Ensure robust data security measures and compliance protocols are implemented across PM2PA, Oracle EBS and integrated cloud environments. Cross-Functional Collaboration:

The Data Security Analyst I manages, monitors, and maintains security access controls for an assigned set of users, systems, and applications. The person is responsible for a number of ongoing ...

Data Coordinator

Holland, MI · On-site

$21.50 - $25/hr

... and data security standards. We support our employees with a comprehensive benefits package, quality supervision, flexible scheduling, a collaborative work environment, ongoing professional ...

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Data Security information

See Michigan salary details

$13

$20

$47

How much do data security jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for data security in Michigan is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $15.91 per hour, depending on experience, location, and employer.

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

To thrive as a Data Security professional, you need a strong grasp of cybersecurity principles, risk assessment, and experience with security frameworks, often supported by a degree in computer science or information security. Familiarity with tools such as firewalls, intrusion detection/prevention systems (IDS/IPS), encryption technologies, and certifications like CISSP or CISM is highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for identifying threats and articulating security measures to stakeholders. These competencies are essential for safeguarding sensitive information, ensuring compliance, and minimizing the impact of security breaches.

Can I make $200 a year in cyber security?

Data security professionals typically earn much more than $200 annually, with entry-level positions often starting at several thousand dollars per year and experienced roles earning significantly higher. Factors such as certifications, skills in tools like encryption and firewalls, and the work environment influence salary levels.

What is the work of data security?

Data security professionals are responsible for protecting sensitive information from unauthorized access, breaches, and cyber threats. They implement security measures such as encryption, firewalls, and access controls, and often use tools like intrusion detection systems. Strong knowledge of cybersecurity principles and certifications like CISSP or CISM are common in this field.

Is data security a good career?

Data security is a strong career choice due to increasing demand for cybersecurity professionals who protect sensitive information. Roles often require knowledge of security tools, protocols, and certifications like CISSP or CISM, and typically offer stable employment with opportunities for advancement.

Is SOC an entry level job?

A Security Operations Center (SOC) analyst role is typically not entry-level and often requires some experience in cybersecurity, network monitoring, or related fields. Entry-level positions in cybersecurity may include roles like SOC analyst I or security technician, but higher-tier SOC roles usually demand certifications such as CompTIA Security+ or Certified SOC Analyst (CSA) and some prior experience. Skills in security tools, incident response, and understanding of security protocols are also important for advancement.

What are some common challenges faced by professionals in Data Security roles, and how can they be addressed?

Professionals in Data Security roles frequently encounter challenges such as rapidly evolving cyber threats, balancing security measures with user convenience, and ensuring compliance with complex regulations. Staying updated with the latest threat intelligence and regularly participating in training can help address these issues. Collaborating closely with IT, legal, and business teams also ensures that security policies are both practical and effective. Regular risk assessments and proactive communication are key strategies for overcoming these challenges.

What is the difference between Data Security vs Data Analyst?

AspectData SecurityData Analyst
Required CertificationsCompTIA Security+, CISSP, CISACAP, Microsoft Certified Data Analyst, Google Data Analytics
Work EnvironmentIT security teams, cybersecurity departmentsBusiness intelligence, data analysis teams
Industry UsageFinance, healthcare, government, techMarketing, finance, consulting, tech

Data Security focuses on protecting data from breaches and unauthorized access, involving cybersecurity measures and compliance. Data Analysts interpret and visualize data to support business decisions. While Data Security ensures data integrity and confidentiality, Data Analysts utilize data to generate insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What is data security?

Data security refers to the processes and technologies used to protect digital information from unauthorized access, corruption, or theft throughout its lifecycle. It involves implementing measures such as encryption, access controls, and regular security audits to safeguard sensitive data. Businesses and individuals use data security to ensure confidentiality, integrity, and availability of their information. Strong data security practices are essential for complying with regulations and protecting against cyber threats.
What are popular job titles related to Data Security jobs in Michigan? For Data Security jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Security jobs? Cities in Michigan with the most Data Security job openings:
Infographic showing various Data Security job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,700 per year, or $20 per hour.
Manager, Data Engineering

Manager, Data Engineering

Reply

Detroit, MI • On-site

$160K - $190K/yr

Full-time

Posted 7 days ago

Be an early applicant


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.

Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables
Minimum Requirements
  • Bachelor’s degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.