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Healthcare Enterprise Data Warehousing Security & Analytics Engineering Architect

Macpower Digital Assets Edge Private Limited

Sheridan, WY

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JOB DETAILS
SALARY
$130,000–$165,000 Per Year
SKILLS
Analysis Skills, Apache Spark, Architectural Services, Artificial Intelligence (AI), Automation, Channel Strategies, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Data Management, Data Modeling, Data Sets, Data Warehousing, DevOps, Engineering Management, Enterprise Protection, GitHub, Healthcare, High Level Architecture (HLA), Information Technology & Information Systems, Information/Data Security (InfoSec), Machine Learning, Mentoring, Microsoft Infrastructure, Microsoft Windows Azure, Operations Security (OPSEC), People Management, Performance Management, Process Improvement, Product Lifecycle, Regulatory Compliance, SQL (Structured Query Language), Security Analysis, Team Building, Team Lead/Manager, Technical Leadership, Test Automation
LOCATION
Sheridan, WY
POSTED
9 days ago
Job Summary:
  • Our client is seeking a Healthcare Enterprise Data Warehousing Security & Analytics Engineering Architect to lead the architecture, engineering, and optimization of a mission-critical data foundation. Built on Databricks and Azure, this platform enables scalable analytics that directly power care delivery for vulnerable seniors.
  • This is a unique opportunity for a true hands-on technical leader not just a people manager. As the Subject Matter Expert (SME) in Databricks, Azure Data Services, and DevSecOps, you will build a compliant, AI-enabled lakehouse from the ground up. You will blend high-level data architecture and CI/CD rigor with healthcare compliance expertise to scale a modern, secure data platform while mentoring a high-performing, innovation-driven engineering team.
Key Responsibilities:
  • Team Leadership: Lead, mentor, and develop a high-performing team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
  • Architecture & Design: Architect and manage scalable data warehouse and lakehouse solutions on Databricks and Azure, ensuring maximum security and healthcare regulatory compliance.
  • AI & Innovation: Evaluate and implement AI/Machine Learning technologies within the environment to optimize data processes and accelerate advanced analytics.
  • DevSecOps Integration: Implement DevSecOps principles, integrating security, compliance, and automation into every stage of the development lifecycle.
  • Pipeline Automation: Develop and manage CI/CD pipelines to enable automated testing, deployment, and environment consistency across all data workflows.
  • Data Governance: Oversee data modeling, integration, and quality frameworks to ensure accuracy, consistency, and organizational trust in analytic data sets.
  • Cross-Functional Collaboration: Partner with Analytics, IT, and business stakeholders to deliver data solutions that align with clinical and operational needs.
Must-Have Technical Skills:
  • Enterprise-Scale Databricks: Proven expertise in architecting and implementing Databricks solutions (not just usage), including Delta Lake, Apache Spark, and MLflow.
  • Production Pipelines: Hands-on experience building complex, production-grade data pipelines using Spark and Delta Lake.
  • Azure Infrastructure: Deep experience deploying analytics infrastructure on Microsoft Azure (e.g., Data Factory, Azure SQL, Azure Storage, Synapse).
  • Security & Compliance: Demonstrated experience implementing DevSecOps frameworks and secure data operations within a regulated industry (Healthcare experience strongly preferred).
  • Automation Tools: Strong proficiency in CI/CD, Infrastructure-as-Code, and automation platforms like GitHub Actions or Azure DevOps.
Professional Experience:
  • Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
  • Data Engineering Tenure: Progressive experience in data engineering or data warehouse architecture.
  • Technical Leadership: Prior experience in a technical leadership role (e.g., Lead Engineer, Architect, or Engineering Manager) with hands-on architectural ownership.
  • Supervisory Experience: Current of direct people management experience, including performance management and team development.

About the Company

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Macpower Digital Assets Edge Private Limited

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