Job Description

What you’ll be doing:

• Spearhead the migration of existing workloads to the Iceberg format, establishing and maturing the foundational lakehouse architecture.
• Architect and construct robust batch and streaming data pipelines utilizing Spark and Flink technologies.
• Collaborate closely with the Backend Engineering team on API integrations and the establishment of formal data contracts.
• Contribute to the development of a unified lineage and governance framework utilizing DataHub.
• Provide comprehensive support to the Core Team in the successful adoption of new data platform capabilities.

What you need to have:

• Demonstrated proficiency with Python and PySpark.
• Hands-on experience with data lake formats (e.g., Iceberg, Delta Lake, or Hudi).
• Solid understanding of Kafka and event-driven architectures.
• Experience in building and orchestrating data pipelines at scale.
• Strong SQL proficiency and comprehensive data modeling knowledge.
• Familiarity with workflow orchestration tools (e.g., Airflow, Dagster, or similar).
• Platform-oriented mindset: developing solutions for broad organizational use, not solely individual purposes.
• Ownership mentality: committed to seeing problems through to resolution.
• Clear communication skills: ability to articulate complex technical concepts to non-technical stakeholders.
• Highly collaborative: excels in working alongside backend engineers, data engineers, and analysts.
• Pragmatic approach: adept at balancing ideal solutions with practical delivery timelines.
• Build and maintain AI-ready data infrastructure, ensuring clean, governed, and accessible data pipelines that power machine learning models and AI-driven products across the platform.
• Expected to leverage AI coding assistants and LLMs to accelerate development, automate documentation, and improve code quality across data pipelines.
• Bonus: Demonstrated expertise with Flink or comparable streaming frameworks.
• Bonus: Proficiency in DBT and familiarity with the modern data stack.
• Bonus: Experience with modern data platforms such as BigQuery, Trino, Snowflake, or Databricks.
• Bonus: Proven background in developing self-service data platforms.

To ensure you feel good solving a big Human problem, we offer:

• A stimulating, fast-paced environment with lots of room for creativity.
• A bright future at a promising high-tech startup company.
• Career development and growth, with a competitive salary.
• The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare.
• A flexible environment where you can control your hours (remotely) with unlimited vacation.
• Access to our health and well-being program (digital therapist sessions).
• Remote or Hybrid work policy.
• To get to know more about our Tech Stack, check here