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Azure Data Fabric Jobs in Michigan (NOW HIRING)

Cisco

Engineering Product Manager

Ann Arbor, MI

$163K - $169K/yr

... Data Fabric, where you'll define how customers transform raw data into actionable, well-governed ... Apache Spark, Flink, S3, Azure Data Lake, Databricks, Snowflake, or similar platforms.

Priority Waste

$96K - $130K/yr

You will take over an early-stage platform built on Azure and Microsoft Fabric and grow it with the company's data needs. Duties and Responsibilities Duties include but are not limited to: * Own and ...

Priority Waste Resources

Senior Data Engineer

Clinton, MI · On-site

$120 - $150/hr

You will take over an early-stage platform built on Azure and Microsoft Fabric and grow it with the company's data needs. Duties and Responsibilities * Own and operate the enterprise data platform ...

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

Data Integration & Platform Collaboration • Work with Data Engineering to leverage: • Microsoft Fabric • Azure Data Lake • Power BI semantic models • Integrate data from: • EHR and eMAR ...

Microsoft

Data Platform Solution Engineer

Detroit, MI · On-site

You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of ...

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Azure Data Fabric information

What is Azure Data Fabric?

Azure Data Fabric is a set of cloud-based tools and services provided by Microsoft Azure to enable seamless data integration, management, and analytics across various data sources and environments. It helps organizations unify their data infrastructure, making it easier to collect, store, process, and analyze data from on-premises, cloud, and hybrid sources. Azure Data Fabric typically leverages services like Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to create a comprehensive data solution. This approach helps streamline data workflows, improve data governance, and accelerate business insights.

What are the key skills and qualifications needed to thrive as an Azure Data Fabric engineer?

To thrive as an Azure Data Fabric Engineer, you need expertise in data architecture, data integration, and cloud computing, typically with a background in computer science or a related field. Proficiency with Microsoft Azure services (such as Azure Data Factory, Synapse Analytics, and Data Lake), along with relevant certifications like Azure Data Engineer Associate, is crucial. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate across teams and address complex data challenges. These skills ensure secure, scalable, and efficient data solutions that empower organizations to make data-driven decisions.

What are some common challenges faced by professionals working with Azure Data Fabric, and how can they be addressed?

Professionals working with Azure Data Fabric often encounter challenges related to integrating diverse data sources, ensuring data security, and optimizing data pipeline performance. Managing data consistency and governance across distributed environments can also be complex. These challenges can be addressed by leveraging Azure's built-in monitoring and security tools, implementing robust data management policies, and staying up-to-date with best practices through continuous learning. Collaboration with cross-functional teams, such as data engineers, architects, and security specialists, is essential for successful project delivery.

What is the difference between Azure Data Fabric vs Data Engineer?

AspectAzure Data FabricData Engineer
Primary FocusData integration, management, and platform services on AzureDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsAzure services, data architecture, cloud computingSQL, ETL, programming, data modeling
CertificationsAzure Data Engineer, Azure Solutions ArchitectMicrosoft Certified: Data Engineer Associate
Work EnvironmentCloud platforms, enterprise data solutionsData warehouses, cloud/on-premises environments

Azure Data Fabric focuses on providing a comprehensive data platform on Azure, enabling data integration and management. Data Engineers build and maintain data pipelines and infrastructure within such platforms. While Azure Data Fabric is a cloud service, Data Engineers work across various environments, often utilizing Azure services. Both roles require knowledge of data architecture and cloud tools, but their core responsibilities differ: platform management versus pipeline development.

What are popular job titles related to Azure Data Fabric jobs in Michigan?

For Azure Data Fabric jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Azure Data Fabric jobs in Michigan look for?

The top searched job categories for Azure Data Fabric jobs in Michigan are:

Azure Data Fabric jobs near you
Infographic showing various Azure Data Fabric job openings in Michigan as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Data - Platform Manager

Harman International Industries

Novi, MI • On-site

Full-time

Re-posted 25 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
We are looking for a Data Platform Manager to lead the development, operation, and continuous improvement of our enterprise Data & Analytics platform. This role is responsible for enabling data product teams, analysts, engineers, and business users to deliver high-quality data and analytics solutions efficiently, securely, and at scale.
You will manage the platform capabilities, tooling, standards, and operating model that support modern data delivery, including cloud data platforms, data engineering environments, analytics workspaces, CI/CD, automated testing, monitoring, governance, and self-service capabilities.
The role combines a strong technical understanding of modern data platforms with leadership, stakeholder management, product-oriented thinking, and the ability to manage a team of up to 5 platform engineers.
What You Will Do
  • Own the roadmap for the enterprise Data & Analytics platform, ensuring alignment with business priorities, data strategy, architecture standards, and security requirements.
  • Define and manage platform capabilities that enable data product teams to build, test, deploy, monitor, and operate data solutions efficiently.
  • Partner with data engineering, analytics, architecture, security, infrastructure, transformation and business teams to continuously improve the platform experience for developers as well as end users.
  • Act as the product owner or service owner for D&A platform services, balancing feature development, operational reliability, cost management, and user needs
  • Manage the D&A platform like a product-clear roadmap, backlog, users, and measurable outcomes; balance speed, stability, cost, and experience.
  • E2E Platform operations ownership - Manage incidents, changes, SLAs, and ensure reliability at scale.
  • Oversee platform support processes, incident management, service requests, change management, and operational monitoring.
  • Lead the development of automated provisioning capabilities for D&A workspaces, environments, data product teams, and project resources.
  • Apply a cost & value mindset to optimize Fabric capacity, Databricks usage, and overall platform cost vs. value.
  • Develop platform capabilities that help data engineering and analytics teams work more efficiently, including automated testing, CI/CD pipelines, deployment automation, code quality checks, and reusable templates.
  • Ensure the platform supports data governance, access control, privacy, security, lineage, metadata management, and compliance requirements.
  • Lead, coach, and develop a team of platform engineers, DevOps specialists, and support analysts, target users of the platform.

What You Need to Be Successful
  • 7+ years of experience in managing or leading Data & Analytics platforms, data engineering platforms, cloud platforms, or related technology services.
  • Strong understanding of modern data architecture, including data lakes, data warehouses, lakehouses, data pipelines, orchestration, and analytics tooling.
  • Experience with MS Azure / MS Fabric cloud platforms and services.
  • Experience with DevOps, DataOps, CI/CD (Azure DevOps / GitHub Actions), infrastructure-as-code, automated testing, deployment automation, and monitoring practices.
  • Familiarity with OneLake architecture, workspace topology, and capacity (F-SKU) planning, Data loading patterns and orchestration processes
  • Familiarity with data platform technologies such as Databricks, Snowflake, BigQuery, Synapse, Redshift, dbt, Airflow, Azure Data Factory, Kafka, or similar tools.
  • Understanding of data governance, security, access management, metadata, lineage, and compliance principles.
  • Strong stakeholder management, communication, prioritization, and problem-solving skills.
  • Experience working with agile delivery methods and product management practices.

Bonus Points if You Have
  • Previous experience as a Data Platform Manager, Analytics Platform Lead, Data Engineering Manager, DataOps Lead, Cloud Platform Manager, or similar role.
  • Experience implementing self-service platform capabilities for data teams.
  • Experience with workspace or environment provisioning, role-based access control, and cloud cost management.
  • Knowledge of software engineering best practices applied to data and analytics delivery.
  • Experience managing vendors, platform budgets, licenses, and service-level agreements.
  • Experience leading teams in a matrixed or enterprise environment.
  • Experience with Delta Lake with ACID transactions, Cluster management, job configuration, Spark tuning and Unity Catalog
  • Working understanding of Databricks Repos, Bundles, and asset deployment patterns
  • Familiarity of MLflow, Feature Store, and AutoML
  • Relevant certifications in cloud, data engineering, architecture, agile, or IT service management are a plus.

What Makes You Eligible
  • Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#LI-AA1
Salary Ranges:
$ 125,250 - $ 183,700
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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