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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and scaling data functions, including defining core metrics, developing data models, and ensuring data quality and governance. Proficient in leveraging modern data stacks and analytics tools to drive business insights and support strategic decision-making.
Highest-signal resume keywords
10+ Years In Data EngineeringDeep Fluency In DbtStrong SQLExperience With AI Or ML Data InfrastructureBuilding Pipelines For Event-Driven Data
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 ModelingData GovernancePipeline DesignEvent-Driven Data ProcessingData Quality AssuranceMetric DefinitionData TransformationData IngestionData AnalysisData Visualization
Soft Skills
Clear CommunicationCollaborationLeadership
Tools & Technologies
DbtDatabricksFivetranPostHogHex
Industry Keywords
GTM FunnelUsage-Based BillingHIPAA ComplianceGDPR ComplianceData ContractsSingle Source Of TruthData ProductsCustomer HealthRevenue RecognitionInvestor Reporting
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Define and own Vapi's core metric set and build the canonical data model
- Make the GTM funnel measurable from signup and first call through activation, qualification, PoC, closed won, adoption, expansion, and retention
- Own data, dashboards, and narratives for weekly and monthly business reviews and instrument OKRs
- Build and scale the modern data stack, including warehouse, ingestion, transformation, orchestration, and BI
- Ship documented and tested dbt models and enforce data contracts
- Design pipelines for call telemetry, transcript events, usage metering, billing signals, and model performance traces
- Set freshness SLAs, alerting, and on-call coverage
- Build AI/LLM monitoring, model telemetry, and prompt-to-performance observability
- Build canonical and semantic layers and function-specific self-serve dashboards
- Own governance, data quality, definitions, dictionary, lineage, and access controls
- Partner with Security and Legal on retention, residency, PII, voice-data handling, HIPAA, GDPR, CCPA, and customer DPAs
- Support pricing, market expansion, product decisions, customer health, revenue recognition, usage-based billing, investor reporting, pipeline health, territory design, and retention modeling
- Plan headcount, hire the first data engineers and analysts, set quality standards, make build-versus-buy decisions, and manage vendor relationships
- Success milestones include publishing metric definitions and a roadmap in 30 days, canonical ARR/NRR/billable-call models in 90 days, end-to-end GTM measurement and self-serve dashboards in six months, and trusted company-wide data within one year
Requirements
What you’ll need- 10+ years in data, analytics, or data engineering, including building or leading a data function at a high-growth technology company
- Experience shipping and sustaining a company-wide single source of truth
- Deep fluency in dbt, Databricks, Fivetran or PostHog, and a BI layer like Hex
- Strong SQL
- Python comfort is a plus
- Experience building pipelines that handle billions of event-driven rows
- Experience with AI or ML data infrastructure, including feature stores, model evaluation pipelines, or LLM observability
- Ability to partner with Finance, Product, Engineering, and GTM
- Experience making build-versus-buy, technical debt, and architecture decisions
- Clear, direct communication skills
- Bonus: First or founding data leader at a Series A through C company
- Bonus: Background at a developer-facing platform, API business, or usage-based SaaS company
- Bonus: Familiarity with usage-based billing data models and revenue metering systems
- Bonus: Hands-on HIPAA or GDPR compliance in an analytics context
- Bonus: Experience building data products for external customers
Benefits
Comp & perks- Competitive salary and excellent equity ownership
- Comprehensive medical, dental, and vision plans
- Quarterly off-sites
- Flexible time off
- Catered meals
- Transportation
- Gym
- $10k annual L&D budget
