Position Purpose:

The Staff Data Engineer is a senior technical leader responsible for designing, building, and operating enterprise-scale data platforms and data products within the Enterprise Data Warehouse (EDW). This includes foundational data domains, semantic layers and downstream analytics consumers. This engineer will help define architectural standards, drive platform modernization, and mentor other engineers while remaining hands-on in complex backend data engineering efforts. The role emphasizes scalability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.

Key Responsibilities:

Design, build, and support large-scale backend data pipelines on cloud data platforms (GCP/BigQuery)Lead development and evolution of semantic layers, including universal / reusable semantic models that support multiple business domains and analytics toolsDesign and maintain Analytical Data Store (ADS) data structures optimized for analytics, reporting, and advanced modeling.Partner with multiple EDW product teams to ensure consistent data modeling, metric definitions, and access patternsDrive platform reliability, scalability, and operational excellence across data productsLead query performance tuning and cost optimization efforts (slot usage, partitioning, clustering, aggregates, workload management)Support and modernize data orchestration frameworks Implement and enforce data quality, validation, and monitoring frameworksPerform deep root-cause analysis of data issues, pipeline failures, and performance regressionsContribute to technical roadmaps, refactoring strategies, and platform modernization initiativesMentor and grow other engineers through design reviews, code reviews, and technical guidanceCreate and maintain architecture diagrams, standards, and technical documentationDirect Manager/Direct Reports:This position typically reports to Software Engineer Manager or Sr. ManagerThis position typically has 0 Direct Reports

Travel Requirements:

No travel required.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.Must be legally permitted to work in the United States.

Preferred Qualifications:

5+ years of experience in backend data engineering or analytics platform engineeringStrong hands-on experience with cloud data warehouses (BigQuery strongly preferred)Advanced SQL expertise and strong working knowledge of PythonProven experience designing enterprise-grade data models, including curated/ADS datasetsExperience building and supporting semantic layers (AtScale preferred, but not required)Experience with universal or shared semantic modeling across multiple domains or productsExperience with CI/CD and orchestration frameworks, including Jenkins and AirflowStrong understanding of performance tuning and cost optimization techniques in large data environmentsExperience designing systems for high availability, resilience, and scalabilityAbility to work across teams and influence architectural decisions without direct authority

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

No additional education

Minimum Years of Work Experience:

3

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

None

Preferred Leadership Experience:

None

Certifications:

None

Competencies:

Global PerspectiveManages AmbiguityNimble LearningSelf-DevelopmentCollaboratesCultivates InnovationSituational AdaptabilityCommunicates EffectivelyDrives ResultsInterpersonal Savvy