Data Platform Engineer – Lead

Lead the design, development, and maintenance of enterprise data platforms. Build and optimize data pipelines, lakes, warehouses, and streaming architectures. Enable teams to deliver high-quality data products that drive business insights. Provide technical leadership and mentorship to engineers.

• Design and implement platform tooling, services, and integrations.
• Build data lake, Lakehouse, and streaming architectures.
• Collaborate with software teams to integrate batch and stream pipelines.
• Work with data scientists, analysts, and stakeholders to deliver MVP solutions.
• Ensure data governance, security, and quality standards.
• Maintain observability and transparency of critical data systems.
• Review code and architectural designs and promote best practices.
• Mentor and guide junior engineers, fostering professional growth.
• Optimize data workflows for performance and efficiency.
• Diagnose and resolve data-related incidents.
• Participate in story grooming, design discussions, and Dev Ops integration.

• 7+ years of experience in data engineering or related roles.
• Proficiency in Python, Scala, or Java and functional/object-oriented design patterns.
• Experience with Apache Spark, data lakes/lake houses, OLTP, document/graph stores.
• Knowledge of ELT/ETL patterns in distributed systems (preferably Databricks).
• Familiarity with data quality and observability tooling.
• Understanding SDLC, unit/integration testing, debugging, CICD pipelines.
• Experience with REST/GRPC services, message buses, and streaming architectures.

• Master's degree in computer science or related field.
• Healthcare industry knowledge.