Rumble
AnalyticsPlatform&ReliabilityEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Platform & Reliability Engineer at Rumble. Skills: Analytics Platform, Reliability Engineering, Doris, Trino, Superset. Own reliability, performance, operational excellence. Lead incident response”
Industry & Context.
Resolve complex technical challenges
Sit for prolonged periods, Use of computer and/or keyboard, Communicate verbally, Hear, Walk, Reach with hands and arms, Balance, Stoop or kneel, Lift and/or move up to 15 pounds, Clarity of vision at approximately 20 inches or less, Working with small objects, Reading small print
What They're Looking For.
Must Have
3–5 years of experience in analytics, platform, or data engineering roles, 1–2 years managing production-grade BI platforms, Administering Apache Superset (or similar tools like Tableau or Looker) in production, Defining and maintaining SLOs using observability tools, Expertise in MPP/OLAP engines, specifically Apache Doris or alternatives like ClickHouse, Mandatory Trino or Presto experience, Advanced SQL skills, Query optimization capabilities, Ability to interpret query plans, Working knowledge of embedded engines like DuckDB, Working knowledge of operational databases such as Postgres or MySQL, Familiarity with automation and orchestration tools, REST API integration, Fundamentals in Python, Fundamentals in Git, Fundamentals in Docker, Fundamentals in Kubernetes, Fundamentals in CI/CD pipelines, Ability to work cross-functionally, Analytical skills, Collaborative skills
Nice to Have
Experience with OpenMetadata or a comparable data catalog, Familiarity with dbt, Familiarity with modern data-modeling practices, Exposure to streaming systems, Background in ad-tech, Background in brand safety, Background in content moderation domains, Experience with FinOps practices, Experience with cloud cost optimization for analytics workloads
What You'll Do.
operational excellence
Lead incident response
Lead root-cause analysis
Optimize Doris and Trino performance
Build Superset semantic layer
Manage infrastructure-as-code
Manage containerized deployments
Manage version upgrades
Manage disaster recovery
Design n8n automation workflows
Maintain CI/CD pipelines
Collaborate with data engineering
Collaborate on warehouse modeling
Collaborate on ad-tech integrations
Collaborate on cross-system APIs
Collaborate on data contracts
Enforce security standards
Enforce compliance standards
Enforce governance standards
Empower analyst communities
Empower engineering communities
How You'll Work.
Team & Collaboration
Collaborate with data engineering on warehouse modeling; Collaborate with RAC on ad-tech integrations; Collaborate with Rumble engineering on cross-system APIs and data contracts; Work cross-functionally with various lines of business
Full Job Description
Rumble is the Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet. Rumble is building the analytics and data platform that powers executive decision-making, operational intelligence, and product insights across the company. As we scale our data infrastructure and expand self-service analytics, we need a platform engineer to own the reliability, performance, and operational excellence of the systems that make it all work. As Analytics Platform lead incident response and root-cause analysis. Optimize Doris and Trino performance through query tuning, workload management, and resource planning to reduce cost and improve speed. Build and maintain the Superset semantic layer, including RBAC, certified datasets, connection governance, and metric definitions. Manage infrastructure-as-code, containerized deployments, version upgrades, and disaster recovery for analytics tooling. Design and deploy n8n automation workflows for cross-functional business units; maintain CI/CD pipelines for workflow code and infrastructure. Collaborate with data engineering on warehouse modeling, RAC on ad-tech integrations, and Rumble engineering on cross-system APIs and data contracts. Enforce security, compliance, and governance standards—audit logging, access control, PII protection, and data quality monitoring. Empower the analyst and engineering communities through self-service tooling, onboarding documentation, performance audits, and office hours. Qualifications 3–5 years of experience in analytics, platform, or data engineering roles, including at least 1–2 years managing production-grade BI platforms. Direct experience administering Apache Superset (or similar tools like Tableau or Looker) in production, with a focus on RBAC, governance, and semantic layers. Proven track record of defining and maintaining SLOs using observability tools such as Prometheus, Grafana, or Datadog. Expertise in
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