Huckberry

Data Manager

Huckberry

full-time

Posted on:

Location Type: Hybrid

Location: Austin • Texas • United States

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Tech Stack

Amazon RedshiftBigQueryETLPythonSQL

About the role

  • 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

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 Have
  • 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
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringanalytics engineeringSQLPythonELT pipelinesdata modelsdata transformationsproject managementdata qualitydata documentation
Soft Skills
team managementleadershipstakeholder communicationmentoringstrategic planningperformance feedbackbalancing executionproblem-solvingadaptabilitycollaboration