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Aws Data Architect Jobs in Michigan (NOW HIRING)

HTC Global Services

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

AWS * Google Cloud Platform Data Platforms * Snowflake * Databricks * Microsoft Fabric * Azure ... AI/ML platform architecture. * Real-time streaming architectures. * Multi-cloud environments. Soft ...

V-CENTRIX-US LLC

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

AWS data services , including Aurora, RDS, DMS, and DynamoDB Oracle, PL/SQL, SQL, and database optimization ETL/ELT pipelines and data integration Data architecture and dimensional modeling ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Data / BI Architect Location: Pontiac, MI Duration: 12Months + About role: Data Business ... Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

Data / BI Architect Location: Pontiac, MI Work Schedule: Hybrid On-site/Remote (This is a hybrid ... AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

... Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

... Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect ...

University of Michigan

Systems Architect

Ann Arbor, MI · On-site

$105K - $115K/yr

As the Systems Architect for the Office of University Development (OUD), you will be central to ... experience with AWS Data Lake infrastructure, Databricks, and AWS-managed services preferred

Spruce Infotech

Principal Data Engineer

Detroit, MI · On-site

$72/hr

... architecture, and enterprise data platforms. Key Skills * AWS - S3, Glue, Lambda, EMR, Redshift * Snowflake - Data Warehousing, Data Modeling, Performance Optimization * Python & SQL * dbt - Data ...

New

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Architect, design, and implement cloud-native data platforms using Databricks (ingestion → ... Strong understanding of cloud-native architectures on AWS and modern data platform concepts.

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Architectural Leadership: Build scalable, distributed systems that handle high-throughput data ... A minimum of 4 years of hands-on experience working with AWS cloud services * Comprehensive ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Design and implement complex data processing pipelines using Apache Spark. • Architectural ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI · On-site

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Apply architecture decisions that balance quality, safety, latency, cost, and model risk. * Deliver ...

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How much do aws data architect jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for aws data architect in Michigan is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $53.41 and $68.70 per hour, depending on experience, location, and employer.

What is an AWS data architect?

An AWS Data Architect is responsible for designing, implementing, and optimizing data solutions on the AWS cloud platform. They work with various AWS services like S3, Redshift, Glue, and Athena to build scalable, secure, and high-performance data architectures. Their role includes data modeling, ETL pipeline development, and ensuring compliance with best practices. They collaborate with engineers, analysts, and business teams to deliver reliable data solutions that support analytical and operational needs.

What are the key skills and qualifications needed to thrive as an AWS data architect?

To thrive as an AWS Data Architect, you need expertise in cloud data architecture, data modeling, ETL processes, and a solid background in computer science or a related field. Familiarity with AWS data services (such as Redshift, S3, Glue, and Athena), proficiency in SQL or Python, and certifications like AWS Certified Data Analytics – Specialty are highly valuable. Strong problem-solving, communication, and project management skills help you work effectively with both technical and non-technical stakeholders. These skills are essential to design scalable data solutions, ensure data integrity, and support organizational decision-making in cloud environments.

What are some typical challenges an AWS data architect faces, and how can I prepare for them?

AWS Data Architects often face challenges related to designing scalable and cost-effective data solutions that align with varying business requirements. You may need to integrate multiple data sources, optimize for both performance and security, and keep up with evolving AWS services and best practices. Tackling these issues requires a strong understanding of AWS data tools, a proactive learning mindset, and the ability to communicate complex data concepts to diverse teams. Gaining hands-on experience and staying updated through AWS certification and training can significantly help you prepare for these demands.

What are the most commonly searched types of Aws Data Architect jobs in Michigan?

The most popular types of Aws Data Architect jobs in Michigan are:

What are popular job titles related to Aws Data Architect jobs in Michigan?

For Aws Data Architect jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Aws Data Architect jobs in Michigan look for?

The top searched job categories for Aws Data Architect jobs in Michigan are:

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Aws Data Architect jobs near you
Infographic showing various Aws Data Architect job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,866 per year, or $61 per hour.

Data & AI Architect

HTC Global Services, Inc.

Grand Rapids, MI • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Location: Grand Rapids (MI) | Employment Type: Full Time - 40 hours per week | Job Level: T4 | Work Preference: Hybrid | Job Code: 244581

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
  • 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
  • AWS

Data Platforms

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • BigQuery
  • Redshift

Programming

  • Python
  • SQL
  • PySpark
  • Scala (preferred)

Data Integration

  • dbt
  • Informatica
  • Talend
  • Kafka

Databases

  • SQL Server
  • Oracle
  • MongoDB

Data Governance

  • Microsoft Purview
  • Collibra
  • Alation
  • Unity Catalog

DevOps

  • Git
  • 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.
  • 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
  • High-quality, scalable, and secure data platforms.
  • 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.

At HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.

  • Hybrid and Workplace flexibility
  • Work-Life-Balance
  • Well-defined career development plan
  • Rewards & Recognition program
  • L&D focuses on upskilling
  • Hands-on experience on Emerging Technologies and Digital Transformation
  • Career Mobility programs
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