Data Manager

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

• 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

• 5 years of experience in data engineering, analytics engineering, or a related technical data role
• Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external
• Strong proficiency with SQL and at least one programming language (Python preferred)
• Hands on experience with modern data stack tools such as dbt, BigQuery (or Snowflake/Redshift), and Fivetran or similar ingestion platforms
• Familiarity with BI/reporting platforms (Looker, Hex, or equivalent) and a point of view on enabling self-serve analytics
• Track record of balancing technical execution with project management and stakeholder communication
• Comfort working in a lean, fast moving environment where you’ll alternate between strategic planning and hands on building

• Experience with semantic layer tooling (dbt Semantic Layer, Cube, Looker’s modeling layer) or defining governed metrics and business logic as reusable definitions
• Exposure to applying LLMs or AI tooling to data workflows, natural-language querying, automated reporting, or similar
• Experience with a CDP or reverse ETL tool (e.g., Hightouch, Census)
• E-commerce or DTC retail experience

• Medical, Dental, Vision benefits
• 401(k) and employer match
• Annual Huckberry shopping credits
• Paid Sabbatical leave at 4 years
• Summer Fridays
• Weekly catered lunch
• Monthly happy hours
• Mental health resources
• Paid Parental Leave
• Paid Vacation & Paid Sick Leave
• Volunteer Time Off
• Generous employee discount
• WFH flexibility
• Annual offsites

Huckberry is the ultimate one-stop men's shop for discovering the best gear and threads. Over a million guys trust us as their go-to resource for their closet, adventure inspiration, and a whole lot more. We were named one of IAB's most disruptive consumer brands, and we've collaborated with everyone from Matthew McConaughey and Leon Bridges to brands like Lululemon, Tacoma, and Coors. We look forward to meeting you.

Want to get to know us better? Check out our:

• Journal: http://huckberry.com/blog
• Youtube: https://www.youtube.com/@Huckberryco
• Instagram: http://instagram.com/huckberry

Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.