Lead Data & Analytics Engineer — Build & Scale Data (Austin HQ)

Burlebo; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Burlebo, a growing men's outdoor brand, seeks an experienced Lead Data & Analytics Engineer to build our data function in Austin. You will own GCP data, model data across ecommerce, wholesale and fulfillment, and define key metrics for leadership to drive decisions.

You’ll design dashboards, replace spreadsheets with scalable solutions, mentor juniors, and shape the data roadmap as the company scales.

Qualifications

• 4-8+ years of experience in data analytics, analytics engineering, or similar roles.
• Strong SQL skills and experience with modern data warehouses (BigQuery preferred).
• Experience building and owning dashboards used by business stakeholders.
• Experience working in environments with messy or evolving data.
• Proven ability to work independently and bring structure to ambiguity.
• Strong communication skills - able to translate data into business insights.
• Experience mentoring or guiding others (formal or informal).

Responsibilities

• Own and optimize the data environment in GCP (BigQuery, Cloud SQL).
• Structure and model data across ecommerce, wholesale, and fulfillment systems.
• Define core company metrics and ensure consistency across teams.
• Design and build dashboards for leadership and operations.
• Replace ad-hoc spreadsheets with scalable data solutions.
• Partner with leadership to define what to measure and why.
• Mentor junior teammates and contribute to hiring and growth of the data function.

Skills

SQL proficiency

BigQuery

Dashboards ownership

Data warehousing

Independent work

Communication skills

Mentoring

Tools

dbt

Python

Job description

Burlebo, a growing men's outdoor brand, seeks an experienced Lead Data & Analytics Engineer to build our data function in Austin. You will own GCP data, model data across ecommerce, wholesale and fulfillment, and define key metrics for leadership to drive decisions.

You’ll design dashboards, replace spreadsheets with scalable solutions, mentor juniors, and shape the data roadmap as the company scales.