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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data platform engineering teams, managing high-impact projects, and developing self-service data solutions. Proficient in building and operating data ingestion, orchestration, and warehouse platforms while ensuring data quality and compliance.
Highest-signal resume keywords
Team LeadershipData Platform EngineeringAI-Agent ManagementData SLO DefinitionProduction Code Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringMachine LearningPlatform EngineeringModel TrainingData ValidationData IngestionData OrchestrationData WarehouseStreaming PlatformsData Quality Measurement
Soft Skills
CoachingPerformance ManagementCommunicationCollaborationProblem-Solving
Tools & Technologies
BigQueryAirflowPub/SubKafkaIcebergPythonGoJavaLangGraphMCP
Industry Keywords
FintechCryptoPaymentsRegulated EnvironmentsBlockchain DataData CatalogLineage ToolingCost AttributionLow-Latency MonitoringTransaction-Centric Processing
Tech Stack
Tools & technologiesAirflowBigQueryCloudJavaKafkaPythonGo
About the role
Key responsibilities & impact- Lead a team of senior data platform engineers
- Own the vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services
- Prioritize platform trade-offs
- Manage, coach, and grow senior engineers
- Develop senior individual contributors into technical leaders and hire effectively
- Lead AI-agent management, guardrails, and review standards
- Curate, version, and govern training, fine-tuning, and evaluation datasets
- Equip engineers with agentic tools for design, coding, testing, on-call, and documentation
- Establish data SLOs, data contracts, lineage, automated checks, and dataset ownership
- Build the platform’s AI and agentic layer, including metadata, semantic context, natural-language data access, pipeline agents, and auditable evaluations
- Enable self-service onboarding of sources, pipelines, dashboards, and monitoring rules
- Operate a reliable production platform with SLAs, cost attribution, budget planning, vendor upgrades, and rollback plans
- Partner with Data Engineering, Data Science, Analytics, Product Engineering, Security, TechOps, Finance, Compliance, and Risk
- Lead designs, review critical paths, debug production issues, and prototype solutions
- Participate in design reviews, code reviews, incident response, and occasional prototyping
Requirements
What you’ll need- 4+ years managing software engineers, including hiring, performance management, coaching, and senior IC development
- 6+ years in data, ML, and/or platform engineering
- Hands-on experience building and operating warehouse, orchestration, streaming, or ingestion platforms at scale
- Experience with platforms such as BigQuery, Airflow, Pub/Sub, Kafka, and Iceberg, or equivalents
- Experience defining and meeting data SLOs and building validation systems
- Experience building or leading LLM-based or agentic data systems
- Experience designing self-service platforms adopted by other teams
- Track record of owning high-impact platform projects end to end and delivering successful releases
- Recent experience designing, prototyping, reviewing, or shipping production code
- Ability to write design documents and explain complex systems to analysts, scientists, engineers, and finance partners
- Understanding of model training and evaluation
- Experience cleaning training and fine-tuning corpora, creating labeled evaluation sets, versioning data, and measuring impact on model quality
- Knowledge of preventing label noise, leakage, and distribution drift
- Preferred: experience with blockchain data at scale
- Preferred: experience in fintech, crypto, payments, or regulated environments
- Preferred: experience with streaming and stateful processing for transaction-centric, low-latency monitoring
- Preferred: familiarity with data catalog and lineage tooling, cloud warehouse access governance, and cost attribution
- Preferred: experience with Python, Go, or Java services and agent frameworks/protocols such as LangGraph or MCP
- Preferred: experience leading a geographically distributed team
Benefits
Comp & perks- Flexible work environment
- Inclusive workplace
- Interview accommodations and assistance for candidates with disabilities