About Us:

Role:

Key Responsibilities:

• Architect and build core data infrastructure leveraging Databricks, Spark, and modern ELT tools.
• Develop robust, maintainable data pipelines (batch and streaming) that support analytics, experimentation, and product insights.
• Build and scale self-service data tools and abstractions that empower analysts, data scientists, and business users to access and use data independently.
• Define and uphold data governance and compliance standards, including access control, lineage, and metadata management.
• Collaborate cross-functionally (product, engineering, clinical, operations) to translate business needs into reliable, performant data solutions.
• Mentor and guide team members, contributing to technical standards and best practices.
• Drive the long-term data platform vision, balancing scalability, reliability, and usability for both technical and non-technical audiences.

Qualifications/Skills:

• 6+ years of experience in data engineering, with a focus on scalable data architectures.
• Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) or equivalent cloud platform 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.
• Experience designing data models, abstractions, and self-service interfaces that improve usability and reduce bottlenecks.
• 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.

Nice-to-Have Skills and Experiences:

• 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.

To be a strong fit, you also need:

• Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike.
• Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs.
• Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization.
• Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location.
• Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success.