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Cloud Factory Jobs in Michigan (NOW HIRING)

HTC Global Services

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft ... Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and ...

Reliable Software Resources

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Extensive experience with Azure Data Factory and data pipeline development. * Hands-on experience ... Experience with Azure cloud data services and enterprise-scale data platforms. Strong understanding ...

Procom Consultants Group

Solution Architect

Dearborn, MI · On-site

$58 - $76.25/hr

Design the migration factory. Solution Architect Mandatory Skills * Experience with application modernization is preferred * Ability to provide advice for cloud application development, cloud ...

Procom Consultants Group

Solution Architect

Dearborn, MI · On-site

$58 - $76.25/hr

Design the migration factory. Solution Architect Mandatory Skills * Experience with application modernization is preferred * Ability to provide advice for cloud application development, cloud ...

IMR Soft Llc

Azure Architect

Grand Rapids, MI · On-site

$61 - $79.50/hr

Are you passionate about building scalable, high-performance cloud solutions? We're looking for a ... Azure Data Factory, Blob Storage, Kafka, FlinqSQL, Function Apps, Cosmos DB, Durable Functions ...

Sonsoft Inc

Solution Architect

Dearborn, MI

$58 - $76.25/hr

... cloud. * Direct onshore and offshore teams to perform analysis, remediation, and application migration activities. * Design the migration factory. * * Ability to communicate with C-level executives ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt); * Big Data Tech: Hadoop, Spark, Kafka; * Programming/API: Python, Keras ...

Autodesk

Senior Platform Engineer

Novi, MI · On-site

$117K/yr

This team designs, provisions, and operates enterprise multi-cloud platforms that enable secure ... smartest factories and biggest hit movies. We help innovators turn their ideas into reality ...

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How much do cloud factory jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for cloud factory in Michigan is $54.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $62.45 per hour, depending on experience, location, and employer.

What is a Cloud Factory?

A Cloud Factory job typically involves managing cloud-based infrastructure and automation processes to support digital transformation. It may include responsibilities like configuring cloud environments, optimizing cloud operations, and ensuring system scalability. Professionals in this role often work with platforms like AWS, Azure, or Google Cloud to deploy and maintain cloud solutions.

What does a Cloud Factory do?

Professionals in a Cloud Factory position are usually responsible for deploying, managing, and optimizing cloud-based environments to support various business applications. Daily tasks often include automating infrastructure provisioning, monitoring system performance, resolving incidents, and collaborating with development and operations teams to ensure smooth workflows. You'll also participate in implementing security best practices and updating documentation to reflect changes in cloud architecture. This role frequently involves balancing multiple priorities and working in a dynamic, fast-evolving technological landscape.

What are the key skills and qualifications needed to thrive in the Cloud Factory position, and why are they important?

To thrive in a Cloud Factory role, you typically need expertise in cloud computing platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and systems administration, as well as a relevant degree in computer science or a related field. Familiarity with tools like Terraform, Kubernetes, Docker, and CI/CD pipelines—along with certifications in major cloud technologies—is highly beneficial. Strong problem-solving abilities, effective communication, and collaborative teamwork are critical soft skills in this field. These qualifications are vital for ensuring reliable cloud operations, seamless deployments, and effective collaboration with cross-functional teams in dynamic cloud environments.

What skills are needed for Cloud Factory?

Cloud Factory roles typically require skills in cloud computing platforms such as AWS, Azure, or Google Cloud, along with proficiency in data processing, automation, and scripting languages like Python or Bash. Strong problem-solving abilities, understanding of data pipelines, and familiarity with DevOps practices are also important for success in this environment.

What are popular job titles related to Cloud Factory jobs in Michigan?

For Cloud Factory jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Cloud Factory jobs in Michigan look for?

The top searched job categories for Cloud Factory jobs in Michigan are:

Cloud Factory jobs near you
Infographic showing various Cloud Factory job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 5% Contract, and 1% Nights. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $114,007 per year, or $54.8 per hour.

Data & AI Architect

HTC Global Services

Grand Rapids, MI • On-site

$61.25 - $78.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Key responsibilities

  • Lead the design, implementation, and governance of enterprise-scale data platforms.

  • Design scalable, secure, and resilient data platforms supporting analytics, AI/ML, and operational workloads.

  • Design batch, streaming, CDC, and API-based data integration solutions.

Job description

Job Title: Enterprise Data Architect
Overview / Summary
We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms. The ideal candidate will define data architecture strategy, establish data standards, and collaborate with business stakeholders, data engineers, analytics teams, and solution architects to deliver scalable, secure, and high-performing data solutions across cloud and on-premises environments.
The role requires expertise in modern data platforms including Snowflake, Databricks, Microsoft Fabric, Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement.
Key Responsibilities
Enterprise Data Architecture
  • Define and maintain enterprise data architecture principles, standards, and best practices.
  • Design scalable, secure, and resilient data platforms supporting analytics, AI/ML, and operational workloads.
  • Create conceptual, logical, and physical data models.
  • Develop enterprise data roadmaps aligned with business strategy.

Data Platform Design
  • Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, and Google BigQuery.
  • Design Lakehouse, Data Warehouse, and Data Mesh architectures.
  • Build scalable ingestion, transformation, and serving layers.

Data Integration
  • Design batch, streaming, CDC, and API-based integration solutions.
  • Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and Fivetran.
  • Establish reusable integration patterns and frameworks.

Data Modeling
  • Design star schema, snowflake schema, normalized, and dimensional models.
  • Develop data marts for business domains.
  • Optimize schemas for reporting and AI workloads.
  • Define master data and reference data models.

Data Governance
  • Establish enterprise data governance standards.
  • Define metadata management strategies.
  • Implement data lineage and catalog solutions.
  • Define data quality frameworks and KPIs.
  • Ensure compliance with GDPR, HIPAA, CCPA, and other regulatory requirements.

Performance & Optimization
  • Optimize query performance and storage costs.
  • Design partitioning, clustering, indexing, and caching strategies.
  • Improve platform scalability and reliability.

AI & Advanced Analytics Enablement
  • Design data foundations for Machine Learning and Generative AI.
  • Build feature stores and semantic layers.
  • Enable real-time analytics and predictive modeling.
  • Collaborate with Data Scientists and ML Engineers to support production AI solutions.

Stakeholder Collaboration
  • Work with business leaders to translate requirements into scalable data solutions.
  • Partner with engineering teams to ensure architectural compliance.
  • Provide technical leadership during solution design and implementation.
  • Mentor architects, engineers, and developers.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
  • 5+ years of experience designing enterprise cloud data platforms.
  • Strong understanding of enterprise architecture principles.

Technical Skills
Cloud Platforms
  • Microsoft Azure
  • AWS
  • Google Cloud Platform

Data Platforms
  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Azure Synapse Analytics
  • BigQuery
  • Redshift

Programming
  • Python
  • SQL
  • PySpark
  • Scala (preferred)

Data Integration
  • Azure Data Factory
  • Apache Airflow
  • dbt
  • Informatica
  • Talend
  • Kafka

Databases
  • SQL Server
  • Oracle
  • PostgreSQL
  • MongoDB
  • Cosmos DB

Data Governance
  • Microsoft Purview
  • Collibra
  • Alation
  • Unity Catalog

DevOps
  • Git
  • Azure DevOps
  • GitHub Actions
  • CI/CD
  • Terraform

Preferred Experience
  • Enterprise-scale cloud migration projects.
  • Data modernization initiatives.
  • Data Lakehouse implementations.
  • Insurance, Healthcare, Financial Services, Retail, or Manufacturing domains.
  • AI/ML platform architecture.
  • Real-time streaming architectures.
  • Multi-cloud environments.

Soft Skills
  • Strong communication and stakeholder management.
  • Strategic thinking with a business-first mindset.
  • Excellent analytical and problem-solving abilities.
  • Ability to influence technical direction across multiple teams.
  • Experience leading architecture reviews and design governance.
  • Strong mentoring and leadership skills.

Success Measures
  • Enterprise data architecture adoption.
  • High-quality, scalable, and secure data platforms.
  • Reduced data delivery timelines.
  • Improved data quality and governance compliance.
  • Optimized cloud performance and cost.
  • Increased business adoption of data and AI capabilities.
  • Successful delivery of enterprise data transformation programs.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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