Posted 7 months ago  

Data Engineering, Director

Posted 7 months ago - 151 views - 67 Applied

Job Description

As a Director of Data Engineering at Doximity, we expect you to support and enable 12+ data engineers in doing the best work of their careers. You will do this through strong leadership skills combined with technical expertise and product familiarity. Indeed, we expect you to be an excellent manager but also to roll-up your sleeves and make technical contributions. Our belief in technical leaders is so strong that your first six months at Doximity will consist of ramping up as an individual contributor. During this time, you will develop your product context and learn the data team's engineering patterns before tackling any leadership challenges.

  • You will play a liaison role alongside Data, Product, Infrastructure and Engineering teams. Fostering relationships with other engineering managers, product managers and technical leads.
  • You will contribute to the technical direction of software products.
  • You will aid in iteration planning, retrospectives, and devise effective delegation strategies for you and your teams.
  • You will review code, write technical proposals, and help your team grow by recruiting, training, and aiding in career progression plans.
  • You will strive to keep the team pragmatic, shipping, and focused on adding business value while maintaining a cohesive software stack.
  • You will be contributing to at least one large or medium-sized data project at any given time.

About you

  • You are a data engineer at heart; excited to roll up your sleeves and help with hands-on data engineering problems.
  • You have at least 4 years of experience as a direct manager for a data-focused team of at least 12+ members.
  • You are passionate about helping others improve and grow their career by exercising coaching, mentorship, and delegation.
  • You know what it takes to push major data projects through a development lifecycle.
  • You are passionate about using data to make a large impact on the product and the business.
  • You are fluent in Python and SQL.
  • You have professional experience architecting, developing, and shipping data and ETL pipelines of all sizes. You do so through the lens of treating pipelines themselves as software.
  • You understand the importance of carefully crafting and designing data models using methods like object-relational, entity-relationship, or dimensional modeling.
  • You default to concise and effective written and verbal communication.
  • You enjoy working with recruiters to grow your team.
  • Your leadership style is servant to the team and starts with empathy; you trust your team to make the right decision and empower them to execute.

Benefits & Perks

  • Generous time off policy
  • Comprehensive benefits including medical, vision, dental, Life/ADD, 401k, flex spending accounts, commuter benefits, equipment budget, educational resources and conference access
  • Family support and planning benefits
  • Stock incentives
  • .. and much more! For a full list, see ourcareer page

About us

We’re thrilled to be named theFastest Growing Company in the Bay Area, and one ofFast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 80% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $3.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out ourcareers page,company blog, andengineering blog. We’re growing steadily, and there’s plenty of opportunities for you to make an impact.

Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.