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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL, data architecture, and identity resolution solutions, with a strong focus on customer engagement and consultative communication. Capable of assessing data landscapes and implementing effective data strategies across various stakeholders.
Highest-signal resume keywords
SQL FluencyData Architecture ExpertiseIdentity Resolution SolutionsConsultative Communication SkillsAnalytics Engineering Experience
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 WarehousingIdentity ResolutionData ModelingDebuggingData AnalysisGraph Data StructuresEntity Resolution AlgorithmsProbabilistic MatchingMachine Learning
Soft Skills
Consultative CommunicationProblem-SolvingCustomer EngagementTeam CollaborationPresentation Skills
Tools & Technologies
SnowflakeDatabricksBigQueryCustomer Data Platform (CDP)Master Data Management (MDM)
Certifications & Qualifications
E-Verify Eligibility
Industry Keywords
B2B SaaSData InfrastructureIdentity GraphsData StrategyCustomer Lifecycle
Tech Stack
Tools & technologiesBigQuerySQL
About the role
Key responsibilities & impact- Own solution design and implementation for Hightouch's Identity Resolution product
- Learn customers' data architectures and determine how Hightouch can meet their goals
- Set up customer deployments and debug issues using real data
- Advise data, marketing, and executive teams on long-term data strategy
- Help configure global identity spines and implement identity resolution solutions
- Work with Sales Engineering on pre-sales deals
- Partner with Customer Support Engineering and Technical Account Management on post-sales implementations
- Serve as the data engineering and analytics subject matter expert across the customer lifecycle
- Direct coding agents and expand the repository of agent skills and best practices
- Work backwards from customer use cases to IDR rules and data models
- Assess data landscape, maturity, feasibility, and gaps during pre-sales
- Investigate identity discrepancies by writing SQL against customer warehouses and reading server logs
- Explain warehouse-native identity resolution behavior and outcome tables to customers
- Identify recurring product gaps and advocate for fixes
Requirements
What you’ll need- SQL fluency, including Snowflake, Databricks, or BigQuery
- Query performance and data warehouse cost awareness
- Ability to reason about identity graphs at scale and architectural trade-offs
- Consultative communication skills for technical and non-technical stakeholders
- Systematic debugging mindset, including forming hypotheses, testing them, and documenting findings
- 2–4 years of experience in analytics engineering, solutions engineering, forward-deployed engineering, or implementation
- Experience ideally in data infrastructure, CDP, or B2B SaaS
- E-Verify eligibility to work in the U.S. is verified post-hire
- Nice to have: experience with identity resolution, MDM, or CDP products
- Nice to have: familiarity with graph data structures and entity resolution algorithms
- Nice to have: experience with probabilistic matching or ML-based identity systems
- Nice to have: background in data engineering or analytics engineering
- Nice to have: comfort with customer-facing presentations and on-site meetings
Benefits
Comp & perks- Meaningful equity
- Remote-first policy
- Location-independent salary