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Posted 3w ago

Data Manager

@ Huckberry
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Austin, Texas, United States
HybridFull Time
Responsibilities:Own prioritization and project management for the data team, Build and maintain ELT pipelines and data models, Define and implement semantic layer and metrics
Requirements Summary:5+ years data engineering/analytics engineering; leadership experience; strong SQL and Python; experience with modern data stack (dbt, BigQuery/Snowflake/Redshift, Fivetran/Stitch, Rudderstack); BI tools (Looker/Hex); balance technical work with project management; comfortable in lean, fast-moving environment.
Technical Tools Mentioned:dbt, BigQuery, Snowflake, Redshift, Fivetran, Stitch, RudderStack, Hex, Looker, Databricks, Hightouch, Eppo
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Job Description

Huckberry is built on better data, and we need a lead architect to man the controls. As our Data Manager, you’ll sit at the intersection of our technical infrastructure and our ambitious business goals, leading a team of engineers while staying deep enough in the stack to ship code yourself. You’ll partner directly with the VP of Technology to evolve our architecture, serving as the "connective tissue" that translates stakeholder needs into high-impact projects. 

The goal is simple but high-stakes: build out our semantic layer and AI-powered analysis capabilities so that every team from Marketing to Merch can leverage LLMs and tools like Hex to get answers at trailspeed. You aren't just managing pipelines; you’re shaping how this entire organization interacts with data.

This role is based out of our headquarters in Austin, TX; relocation support will be provided to a remote hire

Responsibilities

  • 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