Lead Data Platform Engineer
Core
Designing and delivering enterprise-scale data architecture, ETL/ELT pipelines, and modern data platforms supporting analytics, AI, and machine learning workloads.
Role type
Senior IC lead data platform engineer
Builds
Scalable cloud data platforms, reference architectures, reusable patterns, and platform guardrails
Domain
Healthcare + Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data architecture, ETL/ELT pipeline design, Azure Databricks administration, Snowflake, Azure Data Lake Storage, Azure Data Factory, advanced SQL, Python, cloud security, governance, identity and access management, compliance controls, technical leadership, architectural decision-making
Preferred skills
Agile delivery (Scrum/Kanban), cloud data/AI/ML platforms, observability (OpenTelemetry, Prometheus, Grafana), Infrastructure as Code, CI/CD/GitOps, security-by-design, zero-trust, distributed systems, streaming technologies, large-scale batch processing, Kubernetes, networking, secrets management, vector search, AI integration patterns
Technologies
Azure, Databricks, Snowflake, Kafka, Oracle, SQL Server, PostgreSQL, MongoDB, Kubernetes, OpenTelemetry, Prometheus, Grafana, Python, SQL
Responsibilities
Define technical strategy and architecture standards for enterprise data platforms; lead design, implementation, and optimization of scalable cloud data platforms; drive large-scale modernization and platform transformation; establish best practices for DataOps, DevOps, and automation; strengthen governance, security, and compliance controls; partner with leadership to shape platform roadmaps; lead incident response, reliability, and operational excellence; mentor engineers
Seniority
Senior, hands-on IC with leadership responsibilities
