Requirements
- Own prioritization and project management for the data team, balancing competing stakeholder requests with strategic data initiatives
- Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and transformations across the stack (dbt, BigQuery, Fivetran/Stitch, Rudderstack)
- Partner with the VP of Technology to maintain, optimize, and evolve Huckberry’s data architecture, including our warehouse (BigQuery), ingestion layer (Fivetran/Stitch, Rudderstack), ML platform (Databricks), and activation tools (Hightouch, Eppo, Hex)
- Build out and maintain Huckberry’s semantic layer, defining consistent business logic and metrics that can be consumed by BI tools, LLMs, and self-serve analysis platforms
- Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable natural-language querying and automated insight generation across the business
- Expand data access and literacy across the company, reducing bottlenecks on the data team by enabling self-serve analytics for Marketing, Merchandising, Finance, and Product teams
- Ensure data quality, reliability, and documentation across all pipelines and models; establish and enforce testing, monitoring, and alerting standards
- Manage and mentor the data team, providing clear direction, code review, and performance feedback
- Evaluate and recommend new tools, vendors, or architectural changes to improve the data platform’s capabilities and cost-efficiency
Work Arrangement
Hybrid
Team
Structure: Leading a team of engineers
Additional Information
- Relocation support will be provided to a remote hire
