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Honeycomb.io logo
Honeycomb.io

Honeycomb.io is a software company that provides “the fastest way” to visualize, understand, and debug software systems. Founded in 2016, the company helps

Director, Data

Location

United States

Posted

76 days ago

Salary

$250K - $290K / year

Seniority

Lead

Bachelor DegreeEnglishAirflowETLPythonSQLTableau

Job Description

Director, Data

Honeycomb.io

• Lead and develop a world-class team across data engineering, analytics, and (as needed) applied data science—creating clarity, psychological safety, and alignment to business goals. • Setting our strategy and operating rhythm (roadmaps, quality gates, on-call/incident patterns where appropriate, metrics, forecasting, etc) working closely with stakeholders to set clear direction and then make progress, balancing speed and sustainability. • Be hands-on early—writing SQL, prototyping models, reviewing PRs, and unblocking critical work—while also shifting leverage to the team as it grows. • Define and execute Honeycomb’s data strategy you will develop and implement a long-term data strategy that aligns with Honeycomb’s business goals, and contribute to short term priorities across all functions to deliver immediate business value.(self-serve dashboards, trusted metrics, instrumentation gaps closed, etc.). • Make insight a product, not a report: build reliable, fast, self-serve analytics that leaders and teams actually use—you will oversee the development of advanced analytics, dashboards, and reports that provide fast, actionable insights to stakeholders across the organization. • Drive data-informed decisions across functions (Product, Engineering, GTM, Finance, People) by translating complex analyses into crisp narratives and concrete tradeoffs. • Partner tightly with Product & Engineering so data directly informs roadmap decisions, customer experience, and feature prioritization. • Evolve our data architecture to be robust, performant, and cost-aware—improving pipelines, warehouses/lakehouses, orchestration, and implementation of ETL/ ELT processes (e.g., dbt, Airflow, or similar).

Job Requirements

  • Extensive experience in data analysis, data engineering, or related fields, and have led a high performing team across both data engineering and data analytics disciplines.
  • Proven ability to thrive in a fast-paced environment, working both independently and as a hands-on team leader.
  • Proven track record in developing and executing data strategies that drive business outcomes.
  • Experience with scaling data infrastructure and tools in high-growth environments, with strong proficiency in SQL, data visualization tools (e.g., Mode, Tableau, Looker), and data engineering tools (e.g., dbt).
  • Solid understanding of data science tools and techniques (Python and related libraries), with the ability to apply them as needed.
  • Excellent communication skills with the ability to present complex data insights to executive and non-technical audiences.
  • Exceptional problem-solving skills, paired with a strategic mindset and the ability to prioritize effectively in a scrappy, fast-changing environment.
  • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; or equivalent experience.

Benefits

  • A stake in our success - generous equity with employee-friendly stock program
  • It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
  • Time to recharge - Unlimited PTO and paid sabbatical
  • A distributed-first mindset and culture (really!)
  • Home office, co-working, and internet stipend
  • Full benefits coverage for employees, with additional coverage available for dependents
  • Up to 16 weeks of paid parental leave, regardless of path to parenthood
  • Annual development allowance
  • And much more...

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