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Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudPythonSQLTableau
About the role
Key responsibilities & impact- Full accountability for the LookML codebase, including expert-level query performance tuning and optimization within Looker-specific constraints
- End-to-end responsibility for SQL and Python scripts. This includes navigating SQL Server environments to manage the tables and views that power Looker models.
- Rigorous peer code reviews in GitHub to maintain high-quality standards.
- Balance "Business as Usual" (BAU) support and troubleshooting with the development of long-term product features and releases.
- Partner closely with Engineering to ensure seamless product deployments and feature rollouts.
- Translate complex data logic into clear, actionable answers for non-technical stakeholders and act as a technical escalation point for client queries.
- Work synchronously with Database Analyst, Cloud Engineering, Engineering, and Product teams to ensure technical alignment and operational excellence.
- Lead upskilling sessions and maintain a "positive mindset" toward documentation, ensuring the team remains scalable and well-informed.
- A drive to master emerging technologies and keep pace with industry trends.
- Meticulous approach to data validation, code integrity, and documentation.
- Foster a culture of continuous learning within the team.
- End-to-End Reporting: Gather stakeholder requirements, guide DWH developers on table structures, and implement polished visualizations in Tableau.
- Architect’s Partner: Define functional requirements for the Data Warehouse. While you won’t build the pipelines, you will guide Star Schema design to ensure optimization for high-performance reporting.
- Metrics Governance: Take full ownership of the JobAdder "Metric Store." Lead the sign-off process to ensure definitions are consistent across all departments.
- Root-Cause Investigation: Use advanced SQL profiling to perform deep-dive audits and investigate why "the numbers don't look right," bridging the gap between business expectations and raw data.
- Documentation & KT: Maintain rigorous documentation for governed metrics. You believe a dashboard is only as good as the metadata behind it.
Requirements
What you’ll need- Advanced SQL & Python : Mastery of SQL for data profiling and auditing; proficiency in Python for data manipulation and automation.
- Business Intelligence Power User: o Tableau : Expert level (LODs, parameters, performance optimization) for internal reporting. o Looker (Preferred) : Strong LookML expertise for governed, client-facing self-service reporting.
- DWH Literacy : Deep understanding of Dimensional Modeling (Facts vs. Dimensions) and how to advocate for patterns that improve report usability.
- AWS Knowledge (Good to have) : Familiarity with the AWS data stack (Redshift, S3, Glue)
- Data Science Foundation (Good to have) : Familiarity with Data Science to support upcoming product features and internal business reporting models.
- Excellent verbal and written English communication skills , with a focus on brevity and impact.
Benefits
Comp & perks- Health benefits
- Paid time off
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonLookMLTableauDimensional ModelingData ProfilingData AuditingData ManipulationPerformance OptimizationAdvanced SQL Profiling
Soft Skills
CommunicationDocumentationTeam LeadershipContinuous LearningProblem SolvingCollaborationTechnical EscalationStakeholder ManagementPositive MindsetMentoring
