Medium
The Director will lead the strategy, design, and operational management of the enterprise data platform and integration ecosystem.
Salary range: $164,624-214,011 plus 20% bonus
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
PTO, holiday pay and holiday of choice
401(k) match
Life insurance
Short-term disability
Health, dental and vision insurance
Maternity/paternity leave
Health savings account (HSA)
Flex spending accounts (FSA) – health and dependent
Position Responsibilities may include, but not limited to
Define and execute the roadmap for data operations and platform capabilities, ensuring scalability, security, and compliance
Establish and enforce data governance standards, lineage, and cataloging using tools like Purview or Unity Catalog
Oversee ingestion, transformation, and consumption layers leveraging Azure Data Factory, Databricks notebooks, and dbt models
Implement medallion architecture (bronze, silver, gold) for structured data delivery and analytics enablement
Drive integration strategy using MuleSoft for application-to-application and real-time data synchronization
Ensure reliability, performance, and cost optimization of data pipelines
Implement CI/CD and DevOps practices for automated deployment and testing
Monitor platform health and enforce service level agreements for data availability and quality
Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into technical solutions
Mentor technical teams on best practices in ELT, modular dbt development, and cloud‑native architecture
Required Skills and Experience
Bachelor’s degree in Computer Science, Information Systems, or related field
8+ years in data engineering/operations, with at least 3 years in a leadership role
Proven experience with enterprise data platforms such as Azure Data Lake, Azure Synapse, Azure AI/ML, Azure Databricks, and ELT tools such as dbt
Strong understanding of MuleSoft for API governance and application integration
Expertise in healthcare data modeling techniques (star/snowflake, data vault, lakehouse) and orchestration frameworks
Familiarity with CI/CD pipelines, version control (Azure DevOps), and automated testing
Hands‑on experience with data governance tools and frameworks
Knowledge of compliance standards (HIPAA, PCI, GDPR) Strong leadership, communication, and stakeholder management skills
Demonstrated ability to mentor across the organization
Ability to translate complex technical concepts and constraints into enterprise solutions and business value, and vice versa
Strong collaborative development experience with ability to troubleshoot complex issues and mentor others on basic git skills and best practices
Agile delivery experience
Preferred Skills and Experience
Master’s degree
Advanced certifications in Azure or Databricks.
Experience implementing Unity Catalog, Fabric, or similar emerging technologies
Background in healthcare, manufacturing and logistics
Familiarity with AI/ML integration into data platforms and application workflows
Experience with cost optimization and FinOps for cloud environments
Physical Requirements
Repetitive motions that include the wrists, hands and/or fingers
Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus
#J-18808-Ljbffr
Salary range: $164,624-214,011 plus 20% bonus
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
PTO, holiday pay and holiday of choice
401(k) match
Life insurance
Short-term disability
Health, dental and vision insurance
Maternity/paternity leave
Health savings account (HSA)
Flex spending accounts (FSA) – health and dependent
Position Responsibilities may include, but not limited to
Define and execute the roadmap for data operations and platform capabilities, ensuring scalability, security, and compliance
Establish and enforce data governance standards, lineage, and cataloging using tools like Purview or Unity Catalog
Oversee ingestion, transformation, and consumption layers leveraging Azure Data Factory, Databricks notebooks, and dbt models
Implement medallion architecture (bronze, silver, gold) for structured data delivery and analytics enablement
Drive integration strategy using MuleSoft for application-to-application and real-time data synchronization
Ensure reliability, performance, and cost optimization of data pipelines
Implement CI/CD and DevOps practices for automated deployment and testing
Monitor platform health and enforce service level agreements for data availability and quality
Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into technical solutions
Mentor technical teams on best practices in ELT, modular dbt development, and cloud‑native architecture
Required Skills and Experience
Bachelor’s degree in Computer Science, Information Systems, or related field
8+ years in data engineering/operations, with at least 3 years in a leadership role
Proven experience with enterprise data platforms such as Azure Data Lake, Azure Synapse, Azure AI/ML, Azure Databricks, and ELT tools such as dbt
Strong understanding of MuleSoft for API governance and application integration
Expertise in healthcare data modeling techniques (star/snowflake, data vault, lakehouse) and orchestration frameworks
Familiarity with CI/CD pipelines, version control (Azure DevOps), and automated testing
Hands‑on experience with data governance tools and frameworks
Knowledge of compliance standards (HIPAA, PCI, GDPR) Strong leadership, communication, and stakeholder management skills
Demonstrated ability to mentor across the organization
Ability to translate complex technical concepts and constraints into enterprise solutions and business value, and vice versa
Strong collaborative development experience with ability to troubleshoot complex issues and mentor others on basic git skills and best practices
Agile delivery experience
Preferred Skills and Experience
Master’s degree
Advanced certifications in Azure or Databricks.
Experience implementing Unity Catalog, Fabric, or similar emerging technologies
Background in healthcare, manufacturing and logistics
Familiarity with AI/ML integration into data platforms and application workflows
Experience with cost optimization and FinOps for cloud environments
Physical Requirements
Repetitive motions that include the wrists, hands and/or fingers
Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus
#J-18808-Ljbffr