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Cloud Database Engineer Jobs in Michigan (NOW HIRING)

FastTek

Senior Cloud Database Engineer

Dearborn, MI

$97K - $132K/yr

Senior Cloud Database Engineer #1059226 * We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team. * This role focuses on defining strategy ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Stefanini is looking for a GCP Database Engineer(Dearborn, MI) For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com We are seeking a Senior Cloud Database Engineer ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Stefanini is looking for a GCP Database Engineer(Dearborn, MI) For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com We are seeking a Senior Cloud Database Engineer ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Stefanini is looking for a GCP Database Engineer(Dearborn, MI) For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com We are seeking a Senior Cloud Database Engineer ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Stefanini is looking for a GCP Database Engineer(Dearborn, MI) For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com We are seeking a Senior Cloud Database Engineer ...

Eccalon LLC

Database Engineer - onsite

Detroit, MI

... modern cloud or on-prem data warehousing technologies. Responsibilities * Data Warehouse ... Mentor junior database or data engineers when applicable Required Qualifications * Bachelor ...

Independent Bank

AVP Senior Database Engineer

Grand Rapids, MI · On-site

$101K - $138K/yr

... role of Senior Database Engineer , you'll manage and enhance our SQL Server and enterprise ... Familiarity with cloud data warehouse solutions (Snowflake, Databricks, etc.) is preferred * Solid ...

Merican

Cloud Engineer

Dimondale, MI · On-site

$59.25 - $79.25/hr

Containerization, Linux, Database skills, security and recovery, web services and applications programming interfaces (APIs) Core Tasks * Assist senior cloud architects with the design and deployment ...

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How much do cloud database engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for cloud database engineer in Michigan is $106,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $122,000.00 per year, depending on experience, location, and employer.

What is a Cloud Database Engineer job?

A Cloud Database Engineer is responsible for designing, implementing, and managing databases that run on cloud platforms like AWS, Azure, or Google Cloud. They ensure database availability, security, and performance while optimizing cloud resource usage. Their role includes data migration, backup and recovery, automation, and integrating databases with cloud-native services. They also collaborate with developers and DevOps teams to streamline database operations.

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

To thrive as a Cloud Database Engineer, you need a robust understanding of database design, deployment, and management within cloud environments, often demonstrated by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, proficiency in SQL and NoSQL databases, and certifications such as AWS Certified Database - Specialty are highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills in this role. These competencies ensure you can build secure, scalable, and efficient cloud database solutions while working seamlessly within multidisciplinary teams.

What are some typical challenges faced by Cloud Database Engineers and how are they addressed?

Cloud Database Engineers often encounter challenges related to ensuring data security, optimizing performance, and managing database scalability in dynamic cloud environments. Staying up-to-date with evolving cloud technologies and implementing best practices for backup, disaster recovery, and compliance is critical. Collaboration with development and DevOps teams is common to fine-tune database performance and support application needs. Most organizations provide ongoing training and encourage the use of up-to-date monitoring tools to help engineers proactively address these challenges. This makes the role dynamic and offers opportunities to constantly learn and apply new solutions.

What are the most commonly searched types of Cloud Database Engineer jobs in Michigan? The most popular types of Cloud Database Engineer jobs in Michigan are:
What are popular job titles related to Cloud Database Engineer jobs in Michigan? For Cloud Database Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cloud Database Engineer jobs in Michigan look for? The top searched job categories for Cloud Database Engineer jobs in Michigan are:
Cloud Database Engineer jobs near you
Senior Cloud Database Engineer

Senior Cloud Database Engineer

FastTek

Dearborn, MI

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Senior Cloud Database Engineer #1059226
Job Description:
  • We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team.
  • This role focuses on defining strategy, architecture, and standardized "golden paths" for cloud databases and the AI journey on Google Cloud Platform (GCP).
  • This position extends beyond traditional database administration.
  • You will act as a technical leader and pattern owner, shaping the vision and roadmap for our database platform.
  • A key focus is embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.

Key Responsibilities:
  • AI-Driven Database Innovation GenAI Productivity: Lead adoption of Gemini Enterprise for tasks such as query generation, debugging, and schema optimization.
  • Contextual AI Patterns: Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
  • Intelligent Automation: Identify and implement AI-driven automation across the lifecycle, including capacity planning, anomaly detection, and self-tuning.
  • AI/ML Collaboration: Partner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies.
  • Agent Development: Build intelligent agents on database AI frameworks to deliver business value, improve fault detection, and reduce OLTP costs.
  • Metadata, Governance & Compliance Metadata & Discovery: Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
  • Data-as-a-Product: Promote well-documented, discoverable, and consumable datasets.
  • Security & Compliance: Align with frameworks such as GDPR and HIPAA; manage GCP IAM, service accounts, role bindings, and encryption. Implement secure agent practices (e.g., OBO, authorization).
  • Database SRE & Performance Engineering SRE: Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
  • Performance Tuning: Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
  • DevSecOps: Enable secure CI/CD pipelines for database code and configurations.
  • Database Architecture, IaC & Platform Strategy Define Golden Paths: Establish scalable, secure, self-service database architectures and roadmaps on GCP.
  • Infrastructure as Code: Build and maintain Terraform templates for automated provisioning and lifecycle management.
  • Multi-Engine & Serverless Integration: Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
  • Data Modeling & ETL: Develop complex data models and reliable ETL pipelines integrating multiple data sources.
  • Cross-Team Leadership & Enablement Thought Leadership: Advise engineering, data, and AI teams on best practices.
  • Culture & Mentorship: Foster an AI-assisted, platform-first culture and mentor engineers.

Required Qualifications Experience:
  • 5+ years in database engineering with GCP AI enablement focus. AI/GenAI
  • Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns.
  • Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage.
  • Multi-Engine Proficiency: Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Security & DevSecOps: Knowledge of GCP IAM, encryption, and CI/CD practices.

Preferred Qualifications Platform Engineering:
  • Experience building Internal Developer Platforms (IDPs).
  • Certifications: GCP Professional Cloud Database Engineer or Data Engineer.
  • Automation & Coding: Proficiency in Terraform and programming (Python/Java).
  • Cloud-Native Ecosystems: Experience with Kubernetes (GKE) and database operators.
  • Advanced Analytics: Understanding of statistical analysis, data modeling, and ML libraries.

Skills Required:
  • GCP

Skills Preferred:
  • Artificial Intelligence & Expert Systems

Experience Required:
  • Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
  • 6+ years in IT;
  • 4+ years in development

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program

Key Responsibilities
  • AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization).
  • Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions.
  • Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning.
  • AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies.
  • Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.