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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL and Python for data modeling and analytics, with a strong focus on leading teams and delivering high-quality data solutions. Proficient in designing and optimizing data pipelines, ensuring data quality, and implementing best practices in data governance.
Highest-signal resume keywords
Expert SQLExpert PythonData Warehouse DesignTeam LeadershipCloud Stack Optimization
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 EngineeringData ValidationRoot-Cause AnalysisIncremental LoadsDeduplicationSlowly Changing DimensionsSemantic Layer DesignData Quality MonitoringDecision-Focused DashboardsWorkflow Redesign
Soft Skills
CoachingCommunicationConsensus BuildingProblem SolvingFeedback Provision
Tools & Technologies
AWSAirflowDbtGTMGA4RedshiftGlueData VaultStar SchemaCI/CD Standards
Industry Keywords
B2B SaaSDocument WorkflowE-SignatureAnalytics EngineeringBusiness Intelligence
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSCloudPythonSQLVault
About the role
Key responsibilities & impact- Run Data Enablement and lead analytics engineers and web analytics specialists
- Set team priorities, coach team members, and maintain a steady delivery rhythm
- Own the semantic layer end-to-end
- Design, build, and evolve SQL-based models and metric definitions
- Turn raw product and event data into curated, tested, documented datasets
- Automate routine data curation with tracking checks and data-quality monitoring
- Set modeling, version control, testing, release, and code review standards
- Partner with Data Business Partners, Data Science/ML, and Data Platform on scope and ownership
- Stay close to the code on critical builds
Requirements
What you’ll need- 5+ years in analytics, data or BI engineering
- 2+ years leading a team or leading others technically
- Expert SQL and Python
- Experience with incremental loads, deduplication, and slowly changing dimensions
- Experience designing warehouse and mart models, including a semantic layer
- Knowledge of star schema, Data Vault, or equivalent methodologies
- Experience optimizing and troubleshooting pipelines on cloud stacks such as AWS (Athena, Redshift, Glue)
- Experience with orchestration tools such as Airflow
- Experience setting branching, code review, schema and data testing, CI, and release standards
- Experience with data validation, root-cause analysis, and documentation standards
- Ability to design solutions for complex problems and build decision-focused dashboards
- Experience redesigning workflows around AI tools and evaluating AI outputs for quality, privacy, and bias
- Experience owning complex team-level projects and making high-impact decisions
- Experience coaching people, identifying skill gaps, and providing regular feedback
- Ability to clarify complex ideas, build consensus across teams and time zones, and communicate in fluent English
- Experience with dbt or a similar transformation framework, web analytics and tracking (GTM, GA4), or B2B SaaS/document-workflow/e-signature is nice to have
Benefits
Comp & perks- Flexible working environment with remote and hybrid working options
- Performance-based bonus system
- Stock options
- Courses, conferences, and access to learning resources
- Career growth and internal mobility support
- Health coverage
- Wellness programmes and access to fitness options
- Quarterly company-wide Mental Health Days
- Flexibility for parents
- airSlate Junior Club for kids
- Company-wide family days
- Pet-friendly approach
- Charitable initiatives through the airSlate Care programme
- Matching employee donations
