Senior Cloud Database Engineer

Senior Cloud Database Engineer #1059226
Dearborn, Michigan

• 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.

• Lead adoption of Gemini Enterprise for tasks such as query generation, debugging, and schema optimization.
• Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
• Identify and implement AI-driven automation across the lifecycle, including capacity planning, anomaly detection, and self-tuning.
• Partner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies.
• Build intelligent agents on database AI frameworks to deliver business value, improve fault detection, and reduce OLTP costs.
• Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
• Promote well‑documented, discoverable, and consumable datasets.
• Align security with frameworks such as GDPR and HIPAA; manage GCP IAM, service accounts, role bindings, and encryption. Implement secure agent practices.
• Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
• Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
• Enable secure CI/CD pipelines for database code and configurations.
• Establish scalable, secure, self‑service database architectures and roadmaps on GCP.
• Build and maintain Terraform templates for automated provisioning and lifecycle management.
• Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and No
  
  SQL (MongoDB, Firestore, Bigtable, Memory store, Neo4j) with Cloud Functions and Cloud Run.
• Develop complex data models and reliable ETL pipelines integrating multiple data sources.
• Advise engineering, data, and AI teams on best practices.
• Foster an AI‑assisted, platform‑first culture and mentor engineers.

• 5+ years in database engineering with a focus on GCP AI enablement.
• Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns.
• Experience with Dataplex and Knowledge Catalog for metadata and lineage.
• Hands‑on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memory store, MongoDB, and Big Query.
• Knowledge of GCP IAM, encryption, and CI/CD practices.

• Experience building Internal Developer Platforms (IDPs).
• Certifications such as GCP Professional Cloud Database Engineer or Data Engineer.
• Proficiency in Terraform and programming (Python/Java).
• Experience with Kubernetes (GKE) and database operators.
• Understanding of statistical analysis, data modeling, and ML libraries.

• GCP

• Artificial Intelligence & Expert Systems

• 6+ years in IT; 4+ years in development.

• Bachelor's Degree

• Medical and Dental (Fast Tek 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