Staff Data Engineer, Headspace Health
Data Architect
$140.4-224.3k
+ Paid performance incentives for eligible roles + Stock awards
3+ days a week in office
Mental health and wellbeing platform
Open for applications
Mental health and wellbeing platform
1001+ employees
Open for applications
$140.4-224.3k
+ Paid performance incentives for eligible roles + Stock awards
3+ days a week in office
1001+ employees
Company mission
To transform mental healthcare to improve the health and happiness of the world.
Role
Who you are
- 7+ years in data engineering / architecture, with 2+ years leading EDM/MDM programs and a proven track record of leading high-impact initiatives at scale
- Proven ability to create and maintain domain-based enterprise data models (canonical, hub-and-spoke, data-product-oriented)
- Deep expertise with data-modeling tools (erwin, ER/Studio, PowerDesigner, or equivalent) and modeling techniques (3NF, Dimensional, Data Vault, Anchor)
- Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake)
- Strong SQL skills across columnar and relational engines (e.g., Snowflake, Redshift, Databricks SQL, Postgres)
- Solid grasp of data-governance practices: lineage, glossaries, PII/PHI controls, and data- quality frameworks
- Ability to articulate architecture choices to both executive stakeholders and hands-on engineers
- Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability
- Systems thinker who can balance near-term delivery with long-term architecture vision
- Comfortable in highly collaborative, agile environments; able to mentor cross-functional teams
- Excellent written and verbal communication; able to translate complex data topics into plain language
- Bias for automation, documentation, and continuous improvement
- Dbt Core for transformation, tests, and metadata; dbt Semantic Layer experience is a plus
- Familiarity with cloud data-platform services on AWS (Terraform)
Desirable
- Hands-on with Databricks platform (Unity Catalog, Delta Live Tables, MLflow)
- Exposure to event streaming (Kafka, EventHub) and CDC tools
- Experience integrating with commercial MDM suites or building custom match-merge solutions
- Background in data-privacy standards (GDPR, CCPA, HIPAA) and differential-privacy or tokenization techniques
What the job involves
- We are seeking experienced engineers to come work on our data platform and pipelines
- This is an incredible opportunity to participate in building out our modern data platform, working with a diverse and talented crew
- In this role, you will work closely with our data science, data analytics and engineering teams to enable the entire company to bring personalized mental health and wellness to all our members
- Lead the Development of Scalable Data Infrastructure: Drive the architecture and implementation of cutting-edge pySpark data pipelines to ingest and transform diverse datasets into the organization’s data lake in a fault-tolerant, robust system
- Set Design Patterns: Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design
- Architect World-Class Data Platforms: Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry
- Strategic Collaboration for Business Insights: Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics
- Champion Data-Driven Leadership: Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance., Foster a data-first culture that prioritizes excellence, innovation, and collaboration across teams
- Influence Organizational Strategy: Act as a technical thought leader, shaping the company’s data strategy and influencing cross-functional roadmaps with data-centric solutions
Our take
The world is facing a growing mental health crisis. In 2022, the US saw the proportion of the population with an acute anxiety, depression or other mental health need grow from 20% to 40%.
In 2021, Headspace and Ginger finalised a $3bn merger to form Headspace Health, an accessible mental health platform. It is determined to democratize mental healthcare, and its brands are already being used by over 100 million people and more than 4,000 enterprises including Starbucks, Adobe and Paramount.
There is clearly a need for virtual mental healthcare, and the market is growing increasingly crowded, with competitors including His & Hers Health. However, Headspace Health sets itself apart with its rapidly growing portfolio of services, added in part through strategic acquisitions such as that of AI health firm Sayana in 2022. It is now focusing on international expansion, offering its services directly to companies in the UK for the first time.
Steph
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2020
$47.7m
SERIES C
Feb 2020
$53m
SERIES C
Total funding: $175.4m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Russell Glass
(CEO, not founder)Previously VP of Products at Linkedin. Was also CEO of Ginger, before it merged with Headspace to create Headspace Health. Presently, on the Board at CollegeSolved, Breakthrough Collaborative, and Rock the Vote.
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