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Senior Manager, Data Engineering

Salary

$160.943k - $241.393k

Min Experience

8 years

Location

remote

JobType

full-time

About the role

Headspace is looking for an experienced Senior Manager, Data Engineering to join our Data team within the Technology Organization. In this role, you will be responsible for leading a team of 8 with potential for growth whose charter includes driving cohesive data strategy across multiple data environments in collaboration with cross functional business stakeholders, composed of Finance, Ops, Sales, Marketing, Products, Data Analysts, Machine Learning Engineers, and Data Scientists. This team aims to deliver highly performant and scalable data products and platforms to drive a data driven culture across the enterprise, while also aiming to drive data engineering industry best practices. This leader must have the ability to attract and recruit great talent, grow the team, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. As part of the Engineering team, you’ll be working on a product that profoundly impacts millions of users. You will help us bring new features to life to meet our mission, while also helping push our platform to newer technologies as we embrace the cutting edge. A big goal needs talented people, so come join us and give your day job a sense of purpose! What you will do: Build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions. Act as a data steward to develop and implement a clear technical vision towards high quality data solutions and architectures while reducing overall engineering tech debts. Lead your team members technically, to write well designed, testable, performant, and efficient code that runs on Apache Spark and Databricks Delta Lake. Lead, mentor and grow a team that designs, builds, and maintains mission critical data pipelines and data products for our company. Lead the development of a world-class data lake that meets the strict security, privacy, and compliance requirements of the healthcare industry. Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions. Mentor and coach other engineers to build a data-driven culture at the company. What you will bring: Required Skills: 5+ years of managing Engineers at various levels of seniority and experience. 4+ years of operating as a Staff-level Engineer (or an equivalent technical individual contributor role). 8+ years of cumulative experience as a Software Engineer, Data Engineer, or Architect. You’ve built high quality data pipelines before with comprehensive unit tests suites, data quality checks etc. You’ve lead a team through complex cross functional projects with clear goals, deliverables, OKRs, and milestones. BS degree or higher in Computer Science, Computer Engineering, or in a STEM major (Science, Technology, Engineering or Math) or equivalent experience. Extensive skills in technical and functional stakeholder management and an ability to distill complexity into easily understood concepts. 8+ years of experience in big data technologies (Redshift, S3, Databricks, Datalakes, Spark…). Required working experience in one of these tools Looker/Tableau/Amplitude/CoreMetrics. Preferred Skills: MS degree in computer science, engineering or equivalent experience. Experience as a technical leader with a track record of delivering results and making progress in a fast changing, ambiguous problem space. Ability to articulate, influence and drive changes across multiple teams and stakeholders.

About the company

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

Skills

data engineering
big data technologies
Apache Spark
Databricks
data pipelines
stakeholder management
Looker
Tableau