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Staff & Senior Staff Data Platform Engineer
SalesforceCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in building and operating data platforms, with strong proficiency in programming languages such as Python and Go. Capable of leading complex technical projects, mentoring engineers, and ensuring high engineering standards while collaborating effectively across teams.
Highest-signal resume keywords
Data Platform DevelopmentAPI DevelopmentSQL ProficiencyTechnical Project LeadershipAI Infrastructure Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build a data platform for AI agents, including APIs, MCPs, and tools that map data concepts to warehouse entities
- Improve the semantic layer for metric definitions, lineage, ownership, and reliability
- Build ingestion and infrastructure for timely analytics and experimentation
- Evaluate tradeoffs among freshness, accuracy, reliability, and cost
- Develop tools for accurate query drafting, root cause analysis, and visualization
- Drive architecture, implementation, rollout, and adoption through production
- Collaborate with Data Engineering, Data Science, product, core infrastructure, and developer experience teams
- Lead technical direction and move projects from prototypes to production
- Help engineers make sound design decisions and resolve technical dependencies
- Mentor engineers and raise engineering standards across teams
Requirements
What you’ll need- 8+ years of experience building and operating a data platform
- Track record of leading complex technical projects across teams as an individual contributor
- Strong software engineering skills balanced with deep data expertise
- Clear technical communication and ability to build alignment with engineers, data scientists, analysts, and product partners
- Strong proficiency in programming languages such as Python, Go, Java, or similar
- Experience building infrastructure or tools for AI agents
- Experience with semantic layers, metrics platforms, data catalogs, or lineage
- Familiarity with Airflow, dbt, Databricks, sqlmesh, Datahub, Superset, or Snowflake
- Expertise in SQL and Python to build data pipelines
- Experience building APIs, SDKs, or self-service platforms
- Practical experience using AI development tools while maintaining engineering quality
Benefits
Comp & perks- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- Equity may be available
- Incentive compensation may be available
- Reasonable accommodation during the application or recruiting process
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoJavaSQLData Pipeline DevelopmentMetric DefinitionRoot Cause AnalysisQuery DraftingData VisualizationTechnical Communication
Soft Skills
CollaborationMentoringClear CommunicationAlignment Building
Tools & Technologies
AirflowDbtDatabricksSqlmeshDatahubSupersetSnowflake
Industry Keywords
AI AgentsSemantic LayerMetrics PlatformsData CatalogsLineage