Director, Data Engineering

Accountabilities:

• Define and lead the enterprise data engineering strategy aligned with business objectives and long-term technology vision.

• Lead, mentor, and scale high-performing data engineering teams, fostering innovation, accountability, and continuous improvement.

• Design and oversee enterprise data architecture, including data lakes, data warehouses, and lakehouse frameworks.

• Establish and enforce data modeling standards such as dimensional modeling, normalized structures, and semantic layers.

• Drive modernization of legacy systems into a scalable Azure-based data ecosystem using services such as Azure Data Lake, Synapse Analytics, and Data Factory.

• Oversee development of ETL/ELT pipelines integrating data from multiple enterprise systems including CRM, ERP, clinical, and financial platforms.

• Ensure data pipelines support both batch and real-time processing requirements with high reliability and automation.

• Partner with Data Governance teams to ensure data quality, lineage, metadata management, and compliance standards are embedded in architecture.

• Drive performance optimization of data platforms, including query efficiency, storage design, and processing scalability.

• Collaborate with analytics, finance, operations, and business stakeholders to translate requirements into scalable data solutions.

• Ensure data security, privacy, and regulatory compliance, including HIPAA and other applicable standards.

• Optimize cloud resource usage to balance performance, scalability, and cost efficiency.

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field; advanced degree preferred.

• 10+ years of experience in data engineering, data architecture, or related fields, including progressive leadership responsibility.

• Strong expertise in designing and implementing enterprise-scale data architectures and data models.

• Hands-on experience with Azure data ecosystem tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.

• Strong proficiency in SQL and working knowledge of Python or similar programming languages.

• Experience building scalable, cloud-based data platforms and modern data architectures (data lake, warehouse, lakehouse, semantic layers).

• Deep understanding of ETL/ELT processes, data integration, and large-scale data processing.

• Experience working in regulated environments such as healthcare or specialty pharmacy is highly preferred.

• Strong leadership, communication, and stakeholder management skills with ability to influence executive-level decisions.

• Ability to align technical strategy with business needs and drive cross-functional collaboration.

Benefits:

• Competitive compensation package aligned with senior leadership roles.

• Comprehensive medical, dental, and vision insurance plans.

• 401(k) retirement plan with employer match.

• Paid time off and flexible leave policies, including parental leave options.

• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.

• Company-paid disability and basic life insurance coverage.

• Education assistance and professional development programs.

• Inclusive, people-first culture focused on innovation, diversity, and collaboration.

• Opportunity to lead enterprise-wide data transformation initiatives in a high-impact environment.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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