Data Platform Engineer

Senior Data Platform EngineerQ One – Market Intelligence Operating SystemLocation: Remote Employment Type: Full-TimeCompensation: Competitive Salary + Equity + Performance BonusAbout Q OneQ One is building an AI-powered Market Intelligence Operating System designed to transform market, economic, and alternative data into actionable intelligence.We are seeking a Senior Data Platform Engineer to design, build, and operate the infrastructure that powers our real-time analytics, AI systems, quantitative research environment, and institutional data platform.This role is responsible for ensuring Q One's data infrastructure remains scalable, reliable, secure, and capable of supporting billions of records and real-time market intelligence workloads.ResponsibilitiesDesign and build scalable data platform infrastructure.Develop real-time and batch data processing pipelines.Build cloud-native architectures supporting market intelligence workloads.Optimize storage, compute, and data retrieval performance.Implement data orchestration and workflow automation.Design highly available distributed systems.Manage observability, monitoring, alerting, and reliability engineering.Build infrastructure supporting AI, machine learning, and quantitative research.Collaborate with market data, financial data, and quantitative engineering teams.Establish best practices for scalability, security, and platform reliability.Must-Have QualificationsData EngineeringStrong experience with:Apache KafkaApache SparkApache FlinkAirflowETL / ELT ArchitectureStreaming Data PipelinesCloud InfrastructureExpertise in:AWSAzureGCPStrong understanding of:KubernetesDockerTerraformInfrastructure as CodeStorage & DatabasesExperience with:SnowflakeDatabricksClickHousePostgreSQLRedisDelta LakeApache IcebergProgrammingStrong proficiency in:PythonSQLExperience with one or more:JavaScalaGoRustReliability EngineeringExperience with:Monitoring & AlertingCI/CD PipelinesPlatform SecurityDisaster RecoveryHigh Availability SystemsStrongly PreferredPrevious experience at:DatabricksSnowflakeNetflixUberAirbnbStripeConfluentPalantirBloombergTwo SigmaORGraduates from:Carnegie MellonMITStanfordBerkeleyGeorgia TechUIUCUniversity of WashingtonWhat Success Looks LikeFirst 30 DaysDeploy scalable cloud infrastructure.Build production-ready streaming architecture.Implement platform monitoring and observability.Establish CI/CD and deployment standards.First 6 MonthsSupport billions of market and financial data records.Maintain high platform reliability and performance.Enable AI and quantitative teams to access data seamlessly.Build a platform capable of supporting institutional-scale market intelligence operations.Ideal CandidateYou are obsessed with scalability, reliability, and performance. You understand how to build systems that remain fast and resilient as data volumes grow exponentially. You enjoy solving complex infrastructure challenges and creating platforms that engineers, researchers, and AI systems depend on every day.