Jobs / For***
Director, Cloud Platform Engineering
For*** · United States · Remote
United StatesFull timeExp: 15+ yrs141,700-268,300 USD/yearlyRemote
Remuneration
$141,700-$268,300
Location
United States · Remote
Eastern Daylight Time (UTC-4)
Visa sponsorship
Sponsors visa
Job summary
Leads the strategy, architecture, and engineering of cloud database and analytics platforms, establishing self-service, Infrastructure-as-Code-based services across the data estate. The role oversees GCP services including Cloud SQL, Spanner, AlloyDB, BigTable, Firestore, and BigQuery; DBaaS and database architecture patterns; SaaS consolidation and cost optimization; and Agentic Data Cloud capabilities such as database MCP servers, Knowledge Catalog, and Conversational Analytics. It also builds and leads a global team of platform engineers, architects, and SREs.
Benefits
Medical, dental, vision, and prescription drug coverageFlexible family care daysPaid parental leaveNew parent ramp-up programsSubsidized backup childcareAdoption, surrogacy, and fertility benefitsVehicle discount program and management leasesTuition assistanceEmployee resource groupsPaid community service timePaid holidaysPaid time off and option to purchase additional vacation
Qualifications
- At least 15 years of experience in software engineering, cloud architecture, and data platform services, including significant leadership experience.
- Proven ownership of large-scale GCP database and analytics platforms.
- Hands-on experience with Infrastructure-as-Code tools and practices.
- Enterprise-scale experience with SaaS databases, including consolidation and cost optimization.
- Experience owning DBaaS and defining fit-for-purpose database architecture patterns adopted by application or product teams.
- Experience with agentic AI and data platform concepts, including MCP servers, Knowledge Catalog, Conversational Analytics, and AI governance.
- Strong background in DevOps, SRE, automation, CI/CD, and observability.
- Bachelor's degree required.
- Strong executive communication and ability to lead through influence.
- Master's degree preferred.
Responsibilities
- Set the multi-year strategy and roadmap for cloud database and analytics platforms.
- Establish self-service APIs, golden paths, paved roads, and service-level objectives for platform services.
- Drive version-controlled, testable infrastructure provisioning and management using Infrastructure as Code.
- Build, mentor, and lead a global team of platform engineers, architects, and SREs.
- Architect and operate GCP-native database platforms with reusable provisioning, security, and observability patterns.
- Lead platform engineering for BigQuery and the broader analytics stack.
- Develop self-service data pipelines, analytics tooling, templates, service APIs, and automation.
- Own DBaaS strategy and enable self-service provisioning across cloud-native and SaaS databases.
- Define database selection patterns and embed them in design reviews, reference architectures, and templates.
- Consolidate SaaS database products and manage platform lifecycles, including patching, upgrades, and decommissioning.
- Drive cloud cost optimization and manage vendor contracts and enterprise agreements.
- Define Agentic Data Cloud strategy, including reusable database MCP server patterns.
- Lead Knowledge Catalog deployment and Conversational Analytics adoption.
- Define AI guardrails and human-in-the-loop controls, partnering with product and engineering teams.
Skills
BigQueryCloud SpannerCloud SQLGCPMakeMongoDBRedisElasticsearchGraphQLOpenTelemetryRESTTerraform
Degrees
Bachelor's degree requiredMaster's degree preferred
Industry
TransportationMobility
Relocation
No