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Job Description
Job Title:
Cloud Engineer Location:
Dearborn, Michigan Job Type:
W2 Contract Expected hours per week: 40 hours
Schedule:
Hybrid (4 days onsite, 1 day remote) Pay Range (must include "per hour"): $65-75 an hour
Job Description:
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team, focusing on defining strategy, architecture, and standardized "golden paths" for cloud databases and the AI journey on GCP. This role extends beyond traditional database administration, acting as a technical leader and pattern owner to shape the vision and roadmap while embedding AI/GenAI capabilities into how teams design, build, secure, and operate intelligent data systems at scale.
Key Responsibilities:
Lead AI-driven database innovation, including adoption of Gemini Enterprise for query generation, debugging, and schema optimization Define contextual AI patterns by integrating Model Context Protocol (MCP) with databases for contextual AI interactions Identify and implement AI-driven automation across the database 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 and build intelligent agents for business value and OLTP cost reduction Establish enterprise standards for metadata, tagging, classification, lineage, and discoverability using Dataplex and Knowledge Catalog Promote Data-as-a-Product with well-documented, discoverable, and consumable datasets Align security and compliance with GDPR, HIPAA, and GCP IAM, including service accounts, role bindings, encryption, and secure agent practices Apply database SRE practices to ensure availability, fault tolerance, and disaster recovery Lead performance tuning, query optimization, indexing strategies, and troubleshooting across distributed systems Enable DevSecOps practices with secure CI/CD pipelines for database code and configurations Define scalable, secure, self-service "golden paths" and database architectures on GCP Build and maintain Terraform templates for automated provisioning and lifecycle management Architect across SQL and NoSQL engines (Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, BigQuery) with Cloud Functions and Cloud Run Develop complex data models and reliable ETL pipelines integrating multiple data sources Provide cross-team leadership, advising engineering, data, and AI teams, and fostering an AI-assisted, platform-first culture with mentorship
