Lead Data Platform Engineer 1
Core
Define and drive the future of the enterprise data ecosystem by establishing engineering standards, architecting scalable cloud data platforms, and enabling analytics, AI, and machine learning solutions.
Role type
Senior IC Lead Data Platform Engineer
Builds
Enterprise-scale cloud data platforms supporting analytics, AI, ML, and reporting workloads
Domain
Healthcare + Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture, ETL/ELT pipelines, SQL, Python, Azure Databricks administration, Snowflake, Azure Data Lake Storage, Azure Data Factory, cloud security, governance, compliance, incident response, platform reliability, mentoring
Preferred skills
Agile/Scrum/Kanban, reference architectures, Kubernetes, networking, secrets management, OpenTelemetry, Prometheus, Grafana, Infrastructure-as-Code, GitOps, streaming technologies, Kafka, Oracle, SQL Server, PostgreSQL, MongoDB, zero-trust principles
Technologies
Azure, Databricks, Snowflake, Kafka, Kubernetes, OpenTelemetry, Prometheus, Grafana
Responsibilities
Define technical strategy and architecture standards for enterprise data platforms; Lead design and optimization of scalable cloud-based data platforms; Drive large-scale modernization and migration initiatives; Establish best practices for DataOps, DevOps, and IaC; Strengthen governance, security, and compliance controls; Lead incident response and operational excellence; Mentor engineers and foster a culture of innovation
Seniority
Senior, hands-on IC with leadership responsibilities
