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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing governed data models and reusable data products, with strong SQL skills and hands-on experience in dbt and cloud data warehouses. Capable of translating business requirements into clear data definitions while ensuring data quality and security compliance.
Highest-signal resume keywords
Strong SQL SkillsDbt ExperienceCloud Data Warehouse ExperienceDimensional ModelingData Quality Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingDimensional ModelsData MartsData Quality TestingData DocumentationData Discrepancy InvestigationSecurity Risk IdentificationData Transformation FrameworksBusiness Requirement Translation
Soft Skills
Strong CommunicationDocumentation SkillsFollow-ThroughCollaboration
Tools & Technologies
DbtGitSnowflakeBigQueryRedshift
Certifications & Qualifications
Ongoing Security Awareness Training
Industry Keywords
Data GovernanceData QualityBusiness LogicMetricsSemantic Models
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryCloudSnowflakeSQL
About the role
Key responsibilities & impact- Report to the Director of Enterprise Data & Analytics
- Develop governed data models and reusable data products supporting reporting and automations
- Build and maintain dbt models and certified data marts for key business domains
- Translate business requirements into clear data definitions, models, and measures
- Establish consistent business logic for shared metrics and dimensions
- Build and maintain data quality tests; investigate failures and trace issues to their source
- Document model purpose, ownership, definitions, dependencies, and known limitations
- Assess downstream effects before changing models, metrics, or source assumptions
- Use Git and established review and deployment practices to release changes safely
- Support datasets and semantic models used in reporting and applications
- Improve models and workflows as business needs and source systems change
- Communicate tradeoffs, dependencies, and delivery risks to technical and business partners
- Identify and escalate security risks and contribute to remediation efforts
- Perform other duties as assigned
Requirements
What you’ll need- Strong SQL skills and experience building production data models
- Hands-on experience with dbt or a comparable transformation framework
- Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Strong experience designing dimensional models and data marts
- Experience testing, documenting, and maintaining data models
- Familiarity with Git and collaborative code review and release practices
- Ability to investigate data discrepancies and explain their causes
- Ability to work with business partners to clarify requirements and resolve differences in metric definitions
- Strong communication, documentation, and follow-through
- Must complete ongoing security awareness training and comply with company policies
- Must identify and escalate security risks and contribute to remediation efforts
Benefits
Comp & perks- Remote international work arrangement
- Working hours aligned with US Eastern Hours, Monday to Friday, 9am–5pm
- Inclusion-focused work environment
- Accessible and engaged executive team
- Ongoing security awareness training