Director, Data Engineering in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Engineering in the United States.

This leadership role is responsible for defining and executing the vision, architecture, and delivery of enterprise-scale data platforms that power analytics, reporting, and advanced decision-making. You will lead the transformation of data infrastructure into a modern, cloud-first ecosystem built on Azure, enabling scalable, secure, and high-performing data solutions across the organization. The role combines strategic leadership with deep technical oversight, ensuring data architecture, engineering practices, and pipelines support both operational and analytical needs. You will work closely with executive stakeholders, analytics teams, governance functions, and IT to align data initiatives with business priorities. This is a high-impact position where your work directly shapes how data is structured, accessed, and leveraged across the enterprise. The environment is collaborative, innovation-driven, and focused on building reliable, future-ready data capabilities at scale.

• 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.

• 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.

• 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.