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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in data engineering and analytics engineering, with a strong focus on building and managing modern data platforms using Snowflake, dbt, and Terraform. Proven ability to lead teams, establish data quality practices, and translate business needs into effective data models and metrics.
Highest-signal resume keywords
Data EngineeringSnowflake ExpertiseDbt ProficiencyTerraform ManagementData Quality Practices
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 ArchitectureBuilding Semantic LayersTesting Strategy DesignData Quality AssuranceObservability PracticesMetrics GovernanceAI Agent UtilizationManaged IngestionDebugging Pipelines
Soft Skills
LeadershipMentoringCommunicationCollaborationCoaching
Tools & Technologies
SnowflakeDbtTerraformFivetranBI Tools
Industry Keywords
HospitalityEventsReal EstateCustomer-Centric BusinessMulti-Location Business
Tech Stack
Tools & technologiesCloudTerraform
About the role
Key responsibilities & impact- Own the data platform end to end, including architecture, reliability, and roadmap across Snowflake, dbt, and Fivetran
- Move platform configuration from the UI into Terraform with Cloud Infrastructure
- Reshape data models from source-shaped marts to domain-oriented business models
- Set modeling standards, naming conventions, and review practices
- Partner with Finance, Sales, Operations, and venue leadership to turn business questions into trusted models, metrics, and definitions
- Partner with product engineering on schema design, data contracts, and upstream changes
- Own data quality and observability through testing standards, contracts, reconciliation checks, and alerting
- Own the metrics and BI layer, including rolling out the BI tool and governed Snowflake semantic views
- Launch conversational analytics and agents on Snowflake native tools with evaluations and guardrails
- Govern access control, PII handling, and documentation across analytics and AI
- Manage and hire analytics engineers and direct contractors
- Coach through code review, pairing, and clear expectations
- Write dbt models, review pull requests, debug pipelines, and prototype new approaches
Requirements
What you’ll need- 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform relied on in production
- Experience using AI agents for multi-step work such as building models, writing tests, debugging pipelines, and documenting systems
- Deep expertise in dbt and Snowflake
- Experience designing project structure, testing strategy, and warehouse performance at scale
- Experience managing platforms as code with Terraform or similar
- Fluency in data modeling and experience moving from source-shaped models to business-shaped, domain-oriented marts through adoption
- Experience building data quality and observability practices, including tests, contracts, freshness monitoring, and alerting
- Experience building semantic layers and governed metrics
- Understanding of natural-language and agent-driven analytics accuracy
- Experience with managed ingestion such as Fivetran
- Leadership experience as a tech lead, mentor, interviewer, or director of contractors/vendors
- Ability to explain technical concepts to engineers and non-engineers
- High agency and ability to set direction, make architecture decisions, and document reasoning
- Bonus: ThoughtSpot or another search-driven BI tool
- Bonus: Autonomous agents, fencing, monitoring, and improvement loops
- Bonus: Salesforce, NetSuite, or HRIS data modeling
- Bonus: Data preparation for AI use cases
- Bonus: Hospitality, events, real estate, or other customer-centric, multi-location business experience
Benefits
Comp & perks- Day-one health coverage for you and your family
- 24/7 virtual care
- Emotional well-being support
- Fertility and family planning benefits
- Generous PTO
- Birthday off
- Paid parental leave
- Year-end holiday closure
- 401K with company match
- Support for education, courses, and certifications
- Ongoing career growth opportunities
- Recognition programs
- Volunteer and give-back opportunities