Staff Software Engineer (Data Platform)

Function Health is an innovative company focused on redefining health through AI technology. They are seeking an experienced Staff Software Engineer to lead the design and optimization of their data infrastructure, working closely with cross-functional teams to ensure efficient data processing and accessibility.

Responsibilities:

• Lead the design, development, and scaling of core data infrastructure using GCP, Spark, Databricks, and Fivetran
• Develop robust and maintainable ETL/ELT workflows that support diverse structured and unstructured data needs across the organization
• Implement and manage Change Data Capture (CDC) pipelines to enable near real-time data replication and synchronization
• Define and enforce data governance and compliance standards, including access control, auditability, lineage, and metadata management
• Build and manage streaming and batch data pipelines to serve high-impact use cases across analytics, product, compliance, and experimentation
• Act as a strategic partner to cross-functional teams (product, analytics, engineering, clinical) to ensure data is accessible, trustworthy, and impactful
• Contribute as a hands-on engineer while mentoring team members and shaping technical best practices
• Drive the long-term architectural vision of our data platform to support current and future business and product needs

Requirements:

• 8+ years of experience in software engineering, with a focus on scalable data architectures
• Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) and hands-on experience with Spark and Databricks
• Hands-on experience with CDC technologies like Fivetran, or equivalent
• Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.)
• Deep understanding of data governance principles, including compliance and security best practices
• Demonstrated success in collaborating across functions to deliver data solutions for analytics, experimentation, or compliance
• A balance of IC execution and leadership skills; you're equally comfortable rolling up your sleeves or mentoring others
• Familiarity with streaming data architecture, real-time ingestion, and delivery frameworks
• Proficient in SQL and Python for data processing and automation
• Strong problem-solving skills with the ability to work in a fast-paced environment
• Excellent communication and technical storytelling skills — you can align technical work with business value
• Experience with Terraform or Infrastructure-as-Code (IaC) for data infrastructure automation
• Background in HIPAA or other regulated environments with sensitivity to data privacy and compliance
• Familiarity with the dbt Semantic Layer and modern data modeling best practices
• Exposure to data observability platforms and practices
• Familiarity with machine learning data pipelines
• Exposure to multi-cloud or hybrid-cloud environments
• Experience building scalable solutions in a 0-1 environment