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Niche Databricks and healthcare specialization reduces applicant density despite mid-tier employer.
Requires healthcare domain and HIPAA experience, limiting cross-industry transferability.
Requires specific Databricks, Lakehouse, PySpark and HIPAA healthcare experience, making filters stringent.
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Design and lead scalable Databricks Lakehouse architecture for large-scale healthcare data platforms.
Develop and maintain secure ETL/ELT pipelines and data ingestion, transformation, and storage patterns using Databricks and related technologies.
Provide technical leadership including defining architectural standards, performance optimization, cost management, and mentoring data engineering teams.
Strong hands-on experience with Databricks and Lakehouse architecture, including Delta Lake, Unity Catalog, and Databricks Workflows.
Proficiency in PySpark and SQL for designing robust ETL/ELT pipelines.
Experience with cloud platforms such as Azure, AWS, or GCP for building scalable data solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in healthcare data domain including integration of clinical, claims, eligibility, provider, and patient systems with knowledge of HIPAA and PHI/PII protection.
Skilled in data governance, validation, lineage, and security for enterprise-scale healthcare data platforms.
Comfortable participating in Agile environments and leading technical planning, roadmap discussions, and DevOps practices.