Data Engineer Director

Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring fresh perspectives, a problem-solving mindset, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are at the ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!

We are looking for a Data Engineering Director to join the Development team. They’re responsible for implementing data solutions for the firm.

Responsibilities are, but not limited to:

• Data Infrastructure & Architecture – Lead the design and development of secure, scalable, and high-performance data systems, including but not limited to data pipelines, lakes, and warehouses.
• Team Leadership – Build, manage, and mentor a high-performing team of data engineers, while fostering a culture of collaboration, innovation, and continuous learning.
• Pipeline & ETL Optimization – Lead the development and optimization of efficient data workflows and ETL processes.
• Data Governance & Quality – Implement data governance policies to ensure data quality, integrity, and compliance.
• Reporting & Analytics – Ensure data infrastructure supports accurate reporting and analytics for the Business Intelligence team.
• Emerging Technology Integration – Collaborate with the innovation team to explore, pilot, and implement emerging technologies that demonstrate business value.
• Optimize Data Workflows – Continuously monitor and improve the scalability, performance, and cost-efficiency of data systems, while leveraging cloud-native tools and best practices to streamline operations.
• Cross-functional Collaboration – Work with data analysts and business teams to ensure alignment of data solutions with business needs.
• Innovation & Continuous Improvement – Drive the adoption of new technologies and best practices to improve data engineering processes.

• Have a bachelor’s or master’s degree in computer science, information technology, or equivalent experience.
• Have 10+ years of experience in data engineering, with at least five of those years being in a leadership and/or managerial role.
• Have strong experience with data architectures (lakes, pipelines, warehouses) and ETL processes.
• Have strong experience in hands on data modelling and transformation
• Have a proven track record of building and optimizing scalable, high-performance data systems.
• Have a strong understanding of data governance principles, including but not limited to security, privacy, and compliance regulations.
• Be proficient in SQL, Python, and data processing frameworks (Spark, Kafka, Databricks).
• Have strong experience with ETL/ELT tools and orchestration frameworks – Apache Airflow is a plus.
• Have excellent leadership skills with experience in managing and mentoring technical teams.
• Have strong communication skills, with the ability to collaborate across departments and communicate complex technical concepts to non-technical Stakeholders.