Manager of Data Engineering

Manager of Data Engineering

InVita Healthcare Technologies is a leading software provider for complex medical, forensics, and community care environments. We build specialized, highly configurable, and integrated systems that support hospitals, blood centers, donation organizations, public health labs, and forensic labs. InVita is the clear leader in the blood, implant, organ procurement, DNA, and Forensic software markets. Our software solutions have built-in compliance safeguards that streamline processes and enable quick and efficient information exchange with better decision making.

For more information about our software solutions, please visit

The Manager of Data Engineering is responsible for leading a team of data engineers to build and optimize data pipelines, design scalable systems for data storage and processing, and ensure data-driven decision-making across the organization. This strategic role encompasses project management, team leadership, client-facing technical consultation and close collaboration with other departments to fulfill the company's data needs and business goals.

Essential Functions:

• Team Leadership:
  Manage and mentor data engineers, setting clear goals and expectations, and fostering a collaborative and innovative work environment.
• Strategic Project Management:
  Oversee the planning, execution, and success of complex data engineering projects. Collaborate with cross-departmental team members to understand their data requirements and deliver timely solutions.
• Hands-on Technical Oversight:
  Ensure the architecture and ongoing health of data pipelines, databases, and storage solutions, maintaining data integrity, scalability, efficiency, and availability.
• Agentic Workflows & ETL Automation:
  Spearhead the integration of AI agents and LLM-driven workflows to automate complex data investigation, mapping, and ETL processes, optimizing how unstructured and structured data is ingested.
• Client-Facing Data Strategy:
  Act as a technical liaison, directly engaging with clients to investigate their data architecture and address data migration or integration concerns. Translate client needs into precise, actionable technical requirements and ensure clear communication of deliverables throughout the project lifecycle.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field;
  Master's preferred.
• At least 5 years of proven experience in data engineering, including a minimum of 2 years in a leadership role.
• Expertise in database technologies (e.g., MySQL, PostgreSQL, SQL Server) and familiarity with cloud data platforms (AWS, Azure, Google Cloud). Experience with computer programming, particularly in PHP, is preferred.
• Strong experience with data modeling, data warehousing, and ETL processes.
• Hands-on experience deploying and orchestrating agentic workflows (e.g., utilizing LLMs, specialized agents, or similar frameworks) for automated data investigation, extraction, and transformation.
• Demonstrated ability to lead, inspire, and mentor a team of technical professionals.
• Proven customer-facing experience with excellent communication and interpersonal skills; highly capable of investigating client environments and articulating complex data-related concepts to both technical and non-technical external stakeholders.

InVita provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.