About
not
a traditional ingestion-heavy data engineering role. Defining metrics and data quality standards Building and owning high-impact visualizations used by leadership and product teams Design multi-level visualization experiences (exec → operational → deep-dive) and translate complex telemetry and business data into clear, intuitive visuals Define visualization standards: metric definitions, charting patterns, UX clarity and Own dashboards as long-lived products, not one-off reports Design and maintain analytics-layer data models (facts, dimensions, wide tables, semantic layers), Build performant datasets optimized for BI tools and large-scale querying Partner with upstream engineers to shape event and telemetry schemas for downstream analytics, Optimize queries, storage, and compute for scale and cost efficiency in AWS Define and enforce metric contracts across teams and Implement automated data quality checks (completeness, freshness, correctness) Design pre- and post-pipeline validation frameworks and reduce metric drift and dashboard inconsistencies Work cross functionally and turn ambiguous business questions into concrete metrics and dashboards 8+ years of experience in data engineering, analytics engineering, or analytics-focused roles with proven experience owning end-to-end analytics and visualization systems ~ Strong background working with large-scale telemetry and business data ~ Deep SQL expertise and strong Python (data pipelines, transformations, automation), dbt or equivalent analytics transformation frameworks ~ Track record of improving data quality, metric reliability, and dashboard usability ~ AWS (S3, Glue, Athena, Redshift / Redshift Serverless, Lambda, EventBridge) ~ Databricks / Spark-based ecosystems ~ Tableau, Power BI, Looker / Looker Studio (or equivalent) and experience building executive and self-serve dashboards ~ Strong opinions on visualization UX and metric storytelling ~ Event-based data models. Funnel, cohort, and time-series analysis High-volume, high-cardinality datasets
Experience at large-scale tech companies or data-intensive environments Exposure to ML pipelines and feature instrumentation Experience migrating or standardizing BI platforms Front-end or advanced visualization experience (e.g., js, custom visuals) We’re passionate about helping the world find a better way to get there—wherever it is you’re headed. We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options. ~ One Medical membership and dedicated insurance advocates. ~ Rich fertility and family building benefits with Progyny. ~ Flexible time off. ~
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.