Data Manager

Huckberry•Austin, TX

3d•Onsite

About The Position

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

Requirements

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

Nice To Haves

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

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