Google Cloud Non-Relational Database Engineer

Ford Motor Company Open

Remote India Full-time Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Ford Motor Company. Remote, India · full-time.

Pay not stated Data Architecture & Governance salary

RoleData Architecture & Governance

SeniorityMid-level

LocationIndia

WorkplaceRemote

EmploymentFull-time

PostedNov 12, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Design and run NoSQL databases on GCP, selecting services such as Firestore, Bigtable or Mongo for each need
Move on-premises databases to GCP, preserving data integrity while keeping disruption low
Build and maintain Terraform modules and CI/CD pipelines for provisioning and deploying cloud infrastructure
Use Dynatrace to track database health, investigate performance problems and build dependency dashboards
Apply access controls and encryption, and engineer high-availability and disaster-recovery solutions for NoSQL systems

What you bring

A bachelor's degree, or foreign equivalent, in computer science, information technology or a related technical field
At least seven years in IT overall, including three years in database administration or engineering
Hands-on knowledge of GCP NoSQL services, such as Firestore, Bigtable or another listed database
Experience with Terraform and CI/CD, plus Python, GitHub or another listed tool

Who this fits

This mid-level role suits a database engineer who can combine GCP NoSQL work with infrastructure automation, observability and reliability practices. The position is remote in India.

From the employer

Google Cloud non-relational database engineer is sought to design, implement, and manage database systems on the Google Cloud Platform. This role requires expertise in non-relational database technologies (Mongo, Firestore, Bigtable, Memorystore for Redis, Memorystore for Valkey, Neo4j), cloud-native architecture, in depth knowledge of Google Cloud Backup and Recovery, and experience with Google Cloud Platform (GCP) services. A strong background in NoSQL and experience with database migrations, Data modeling, and Performance optimization, monitoring tools are also essential.

NoSQL Database Engineering, part of Hosting Engineering department involves engineering new versions of NoSQL Databases, evaluate security patches, provide L3 support, technology management, GRC etc.
Infrastructure as Code (IaC): Design and maintain production-grade infrastructure using Terraform . Ensure all cloud resources are version-controlled and deployed via automated pipelines.
Observability & Reliability: Set up comprehensive monitoring, logging, and alerting using the Dynatrace. Define and track SLIs, SLOs, and Error Budgets.
Developer Enablement: Build internal tooling and documentation to help application developers self-serve their infrastructure needs while maintaining compliance and governance.
Cost Optimization: Monitor cloud consumption and implement cost-saving strategies such as Committed Use Discounts (CUDs) and rightsizing of compute resources.
Data Security & Protection: Enforce security best practices using IAM roles, Workload Identity, and Organization Policy Service and ensure RTO & RPO requirements are met.
Implement secure authentication between the AI Client (e.g., an agentic loop) and the MCP Server. Use GCP IAM Workload Identity and OAuth2 to ensure agents operate within strict permission boundaries.
Implement end-to-end tracing to monitor the flow from the AI Agent → MCP Server → GCP Data Source.
Experience with architecting and engineering of High Availability and Disaster Recovery solutions for NoSQL Databases
Inter-personnel skills working with other team members in same and across organization
Writing and assisting developers with Terraform, Blueprints, and APIs
Create and maintain CI/CD Pipelines
Deliver Database features to customers through Github Repo Enhancemnts
Strong understanding of SRE principles, including the implementation and management of SLOs and Error Budget
Expertise in developing observability dashboards to visualize app-to-database dependencies, enabling side-by-side health monitoring and accelerated incident resolution.
Integrate GCP database logs with Dynatrace to centralize observability, configure DQL-based anomaly detection and provide deep-dive analysis for cloud-native workloads.
Designing and implementing non-relational database solutions on GCP, including choosing appropriate services like .
Mongo, Firestore, Bigtable, Memorystore, or Neo4j
Managing and maintaining database infrastructure, including provisioning, configuration, and Optimizing database performance through query tuning, indexing, and capacity planning.
Migrating existing on-premises databases to Google Cloud Platform, ensuring data integrity and minimal downtime.
Developing and maintaining logical and physical data models for non-relational databases.
Implementing and maintaining security best practices for database systems on GCP, including access controls and encryption, Peach dashboard, and Cycode.
Monitoring database performance, identifying and resolving issues, and providing support for database-related problems using Dynatrace, Query Insights, and System insights.
Writing, code reviewing, deploying Terraform code and maintaining service module repositories.
Designing and maintaining Miro board diagrams/workflow for several ongoing projects.

Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
Minimum of 7 years of overall IT experience
3 years of experience database administration or engineering.
Strong knowledge in GCP non-relational databases like Mongo Atlas, Neo4j AuraDB, Firestore, Bigtable, Memorystore for Redis, and Memorystore for Valkey. GCP Cloud Associate Cloud Engineer certification preferred.
Experience with Cloud Run and Cloud Functions for event-driven architectures.
Skills
CI/CD & DevOps, Terraform, VS Code, Github, Python, Cloud Run

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