Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement
Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations
Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities
Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle
Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency
Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes
Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs, as well as oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets

Requirements

Bachelor’s or master’s degree in computer science, information systems, data engineering, or related field
Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position
Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members
Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations
Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.)
Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred
Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies
Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights

Benefits

Medical insurance coverage (Medical, Dental, Vision)
Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days
401K savings + match
Comprehensive compensation package including base pay and bonus
And additional benefits!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata warehouse architecturedata lakehouse solutionsAI technologiesmachine learningDevSecOpsCI/CD pipelinesdata modelingdata integrationdata quality frameworks

Soft Skills

leadershipmentoringcollaborationinnovationcontinuous improvementcommunicationteam developmentorganizational skillsproblem-solvingadaptability