Akkodis currently has a Director of Data Engineering position with a client located in the Rochester / Buffalo NY area. No C2C or agencies allowed with this position.
Pay/Salary Range: $135000-145000.
The Director of Data Engineering will lead the organization's data engineering team and drive the development of data systems, infrastructure, and pipelines that enable the efficient collection, processing, and storage of large datasets that drive data-driven decision-making across the organization. This individual leads a team of data engineers, architects, and analysts, ensuring that the organization's data architecture is scalable, secure, and optimized for performance. The Director of Data Engineering works closely with other IT and business units to align data strategies with overall business objectives and ensure data is accessible, reliable, and actionable.
Responsibilities
- Lead and mentor a team of data engineers, ensuring alignment with organizational goals and the development of technical expertise within the team.
Data Architecture & Infrastructure:
- Design, implement, and optimize scalable data pipelines and data architectures to support data-driven decision-making.
- Oversee the development of data storage solutions (e.g. data lakes, data warehouses) that are efficient, secure, and reliable.
- Ensure data infrastructure is able to handle growing data volumes and diverse data sources (structured, semi-structured, and unstructured).
- Lead the strategy for data ingestion, integration, and transformation to ensure high-quality and accessible data for analytics and reporting.
Collaboration & Stakeholder Engagement:
- Work closely with other technical and business teams to understand data requirements and ensure data architecture aligns with organizational needs.
- Partner with Data Science, Analytics, and Business Intelligence teams to enable advanced analytics and machine learning model deployment.
- Collaborate with product, engineering, and IT teams to ensure seamless data flow and effective data management practices.
Data Governance & Compliance:
- Ensure compliance with data privacy and security regulations (e.g., NIST, HIPAA, PHI) by designing data systems that protect sensitive information.
- Establish and enforce data governance frameworks and best practices for data quality, metadata management, and data lifecycle management.
- Lead efforts to implement data versioning, auditing, and monitoring to ensure the integrity of data pipelines and platforms.
Technical Expertise:
- Data Engineering: Deep knowledge of data engineering concepts, including data modeling, ETL processes, data pipelines, and integration methods.
- Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema construction, required.
- Hands-on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, required.
- Demonstrated experience with a variety of relational and NoSQL technologies (e.g., Azure SQL Server, PostgreSQL).
- Experience in a cloud platform (preferably Azure) and its related technical stack (e.g., Azure Data Factory, Synapse).
- Strong technical understanding of data modeling, data mining, master data management, data integration, data architecture, data virtualization, data warehousing, and data quality techniques.
- Advanced proficiency in relational database modeling, Data Mart design, SQL development, and performance tuning.
Programming Skills:
- Proficiency in programming languages such as Python for developing and optimizing data engineering solutions.
- Background in agile methodologies and working in cross-functional teams to deliver data-driven solutions.
Qualifications
- Bachelor's Degree in Computer Science, Information Systems, or another related field required
- Minimum of 10 (ten) years of progressively responsible IT experience in a healthcare environment (preferably a Provider setting), and three (3) years of management/leadership experience required.
- Experience in healthcare systems with a strong understanding of compliance and security requirements is strongly preferred.
- The ability to diagnose and resolve complex technical problems. Required to be skilled in troubleshooting and problem-solving, and can demonstrate the ability to be able to work independently or as part of a team.
- Proven problem solving and analytical skills in systems design, development and operations
- Proficiency in analyzing complex business processes and translating them into system requirements
If you are interested in this Director of Data Engineering job, then please click APPLY NOW. For other opportunities available at Akkodis go to . If you have questions about the position, please contact Jim Tobin at
Equal Opportunity Employer/Veterans/Disabled