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Senior Database Engineer Jobs in Canton, MI (NOW HIRING)

Senior Cloud Database Engineer

Dearborn, MI · On-site

$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 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 ...

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 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 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 ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design and build data pipelines that ensure the ... our databases and warehouse. • Model time-series and analytical plant data for both human ...

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Experience with NoSQL databases. * Experience with Kubernetes, Docker, and cloud infrastructure technologies. * Experience with version control systems such as Git. * Strong analytical, problem ...

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members ... relational databases and batch/real-time data pipelines using cloud services • 5 years of ...

Senior Data Engineer

Detroit, MI

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Strong understanding of database and server internals * Knowledge of Linux system administration ...

Senior Access Database Developer - Direct Hire Opportunity | Auburn Hills, MI Reliance One is seeking a highly skilled Senior Access Database Developer to join a manufacturing organization focused on ...

New

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines ... Strong Python and SQL, with deep experience designing database and warehouse schemas, including ...

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Strong understanding of database and server internals * Knowledge of Linux system administration ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ...

... tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and build ...

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Senior Database Engineer information

See Canton, MI salary details

$75.1K

$117.1K

$162.2K

How much do senior database engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior database engineer in Canton, MI is $117,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

What is the difference between Senior Database Engineer vs Database Administrator?

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a senior database engineer, and why are they important?

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.
What are popular job titles related to Senior Database Engineer jobs in Canton, MI? For Senior Database Engineer jobs in Canton, MI, the most frequently searched job titles are:
What job categories do people searching Senior Database Engineer jobs in Canton, MI look for? The top searched job categories for Senior Database Engineer jobs in Canton, MI are:
What cities near Canton, MI are hiring for Senior Database Engineer jobs? Cities near Canton, MI with the most Senior Database Engineer job openings:
Infographic showing various Senior Database Engineer job openings in Canton, MI as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,075 per year, or $56.3 per hour.

Senior Cloud Database Engineer

FastTek

Dearborn, MI • On-site

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


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.