Staff Data Engineer, Headspace Health

• We’re looking for an experienced Data Architect who can also operate hands-on as a Staff Data Engineer
• The ideal candidate is equally comfortable whiteboarding conceptual models, building and reviewing ETL jobs, and coaching engineering teams on data architecture best practices
• 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

Desirable

• You will design and evolve our domain-based Enterprise Data Model (EDM), lead Master Data Management (MDM) initiatives, and build production-grade data pipelines in Python / PySpark
• 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