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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building scalable data solutions, including dimensional and star-schema data models, while leveraging modern data tooling and engineering principles. Proficient in SQL, dbt, and Databricks, with a strong focus on collaboration and communication across business domains.
Highest-signal resume keywords
Data EngineeringSQLDbtDatabricksGenerative AI
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 ModelingAnalytics SolutionsDimensional ModelingStar-SchemaData PipelinesMachine LearningCloud-Native Data SourcesData VisualizationBusiness IntelligenceAutomation
Soft Skills
CommunicationCollaborationCuriosityProduct MindsetContinuous Learning
Tools & Technologies
DatabricksAWSSalesforceNetSuiteBI Tools
Industry Keywords
Data EngineeringAnalyticsCustomer SuccessMarketingFinanceProduct
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Partner with business teams to understand goals and translate them into scalable data solutions
- Design and implement trusted dimensional/star-schema data models for self-service analytics and decision-making
- Translate raw data into intuitive stories, metrics, and visualizations
- Drive adoption of the Enterprise Data Model
- Build, extend, and maintain scalable dbt pipelines
- Explore Generative AI and machine-learning opportunities for data products
- Support CRM, marketing, and customer-facing teams with custom analytics solutions
- Champion reliability, reproducibility, and automation across the data stack
- Collaborate on enterprise-grade dashboards and visualizations using modern BI tools
- Manage and optimize the Databricks environment
Requirements
What you’ll need- 5+ years of experience in data engineering, analytics, or related fields
- Proven ability to build and evolve analytics solutions
- Fluency in SQL and dbt
- Ideally Python
- Strong understanding of modern data tooling and engineering principles
- Experience working with Databricks, preferably on AWS
- Curiosity about Generative AI, data products, and emerging tools
- Ability to work across business domains including marketing, product, finance, sales, and customer success
- Experience with cloud-native data sources such as Salesforce or NetSuite
- Clear, compelling technical and business-facing communication
- Product mindset and passion for continuous learning
Benefits
Comp & perks- Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution
- 401(k) matching contribution: 50% of your contribution deferred on up to 6% of your compensation; matching contributions are fully vested after one year
- Generous Paid Time Off
- Paid Parental Leave programs
- Company-paid Life and Disability benefits
- Flexible Spending Account
- Employee Assistance Programs
- Company-sponsored Business Resource & Special Interest Groups
- Professional development opportunities
- Tuition reimbursement programs
- Unlimited access to LinkedIn Learning
- Remote availability for some roles
- Global presence and in-person collaboration opportunities
- Dog-friendly headquarters
- Weekly catered breakfast and lunch
- Treadmill workstations
- Zen and wellness rooms