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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data models and pipelines for identity graph construction and entity matching, with strong proficiency in SQL and Python. Capable of collaborating across teams to translate complex data concepts into actionable insights while ensuring data quality and compliance with privacy standards.
Highest-signal resume keywords
Data ModelingEntity MatchingIdentity ResolutionSQLPython
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and maintain data models and pipelines supporting identity graph construction, entity matching, and identity resolution
- Partner with data engineering and software engineering to productionize scalable, well-tested matching logic and monitor data quality and drift
- Build metrics, dashboards, and analytics measuring match rate, match quality, coverage, and graph stability
- Surface anomalies before they affect downstream campaigns
- Work with data science to evaluate and improve matching algorithms
- Provide clean, documented data and features for model testing and iteration
- Manage and evaluate analytics relationships with external identity providers
- Onboard new identity data sources, validate match performance, and monitor ongoing data quality
- Translate identity graph and matching concepts into actionable insights for product, sales, and non-technical stakeholders
- Collaborate with product and cross-functional partners to define identity requirements, evaluate accuracy, coverage, and privacy trade-offs, and prioritize roadmap work
- Communicate technical decisions, trade-offs, and results to technical and non-technical audiences
Requirements
What you’ll need- 5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data
- Experience working with graph data structures and graph-based data models
- Familiarity with entity matching and identity resolution concepts, including deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation
- Knowledge of or direct experience working with identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners
- Strong SQL and Python skills
- Experience building and maintaining production data pipelines
- Experience designing data models, metrics, and dashboards for non-technical stakeholders
- Ability to collaborate across data engineering, software engineering, data science, and product teams
- Ability to work independently, drive projects, and make compelling prioritization cases
- Experience with ad-tech identity concepts
- Experience with graph databases or graph-processing frameworks such as Neo4j, Neptune, or GraphFrames
- Familiarity with Metaflow or comparable large-scale data tooling
- Experience with privacy-sensitive data and relevant data governance and privacy considerations
- Experience applying GenAI to developer or analytics productivity
Benefits
Comp & perks- Comprehensive health plans
- Mental health support
- 401(k) retirement plan with employer match
- Stock option program
- Disability programs
- Health savings and flexible spending accounts
- Family-forming benefits
- Life and serious injury benefits
- Paid leave of absence programs
- Flexible time off for full-time salaried employees
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 Pipeline DevelopmentGraph Data StructuresDeterministic MatchingProbabilistic MatchingFuzzy MatchingMatch Quality EvaluationGraph DatabasesData GovernancePrivacy ConsiderationsGenAI Application
Soft Skills
CollaborationIndependent WorkProject ManagementCommunication
Tools & Technologies
Neo4jNeptuneGraphFramesMetaflowAnalytics Dashboards
Industry Keywords
Identity ProvidersAd-Tech Identity ConceptsData Quality MonitoringData DriftAnalytics Relationships