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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 operating production data platforms, with a strong focus on Snowflake, dbt, and data ingestion methodologies. Proficient in data governance, monitoring, and automation practices to ensure data quality and operational efficiency.
Highest-signal resume keywords
SnowflakeDbtData IngestionRBACSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonData ModelingCI/CDMonitoringIncident ResponseSchema EvolutionData QualityTransformation LayerAutomationDebugging
Soft Skills
Systems ThinkingJudgmentPragmatic ApproachCollaborationCommunication
Tools & Technologies
PrefectAirflowDagsterKubernetesAWSTerraformSalesforceSlack
Industry Keywords
GTMFinanceProduct OperationsData GovernancePII Handling
Tech Stack
Tools & technologiesAirflowAWSETLKubernetesPostgresPythonSQLTerraform
About the role
Key responsibilities & impact- Own reliability, freshness, and scaling of ingestion and orchestration pipelines landing source data in Snowflake
- Develop monitoring, alerting, runbooks, and backfill/reprocessing patterns
- Design, build, and scale Bronze, Silver, and Gold dbt models for billing, usage, CRM, product events, and GTM funnel reporting
- Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse
- Diagnose and resolve data quality and freshness issues at the source
- Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts
- Review DDL and access requests from Engineering and GTM
- Own reverse-ETL systems and runbooks delivering warehouse data to Salesforce, Slack, and internal agents
- Extend semantic views, context, and evaluations for accurate agent responses
- Expand agent-operated workflows from runbooks and ingestion to pull requests
- Build and advance CI/CD review gates in the data-platform monorepo
- Own compute, deployments, secrets, access patterns, and environments for the data platform
- Partner with infrastructure engineers on availability and failure modes
- Standardize Postgres and SaaS ingestion and consolidate pipeline deployment in Prefect
- Manage Snowflake RBAC, resource management, and masking policies as code with Terraform
- Automate masking coverage, Identity Graph matching, transcript aggregation, PII detection, reverse-ETL frameworks, and runbooks
- Run self-hosted data services on Kubernetes and manage AWS resources as code with Terraform
Requirements
What you’ll need- 5+ years (or equivalent) building and operating production data platforms, including the transformation layer
- Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster
- Experience ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns
- Experience with monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking
- Experience with warehouse access governance: RBAC, masking policies, and PII handling
- Strong data modeling judgment and understanding of schema evolution
- Strong SQL and Python
- Disciplined engineering practices: tests, documentation, reviews, and CI/CD
- Proven experience operating as the only engineer on a layer
- Working knowledge of GTM, Finance, and Product operations
- Experience translating ambiguous business questions into technical specifications
- Comfortable using LLMs and coding agents in day-to-day development
- Judgment to validate AI-generated output and scale it into shared processes
- Systems thinking around freshness, correctness, and failure modes
- Pragmatic approach to building and scaling solutions
- Ability to work with AI and automation to scale platform work
Benefits
Comp & perks- Healthcare, dental and vision coverage
- Parental leave
- Paid time off
- Fully remote working arrangements
- 401k matching
- Competitive Equity
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Monthly fitness stipend
- Monthly wellness stipend
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage
