Senior Director

We are looking for a Senior Director of Data Engineering to lead our data engineering team. You will oversee the development of our data infrastructure and systems, ensuring scalability, reliability, and performance to support our organization’s data-driven programs.

We ask that you have a partnership with other departments and our leaders across the company to translate technology capabilities into strategic decisions. You’ll promote accountability and metrics ownership to translate strategy into results.

You Will:

• Provide leadership to the data engineering team, creating a culture of innovation, collaboration, and excellence.
• Design and implement scalable, efficient, and data architecture and solutions to support our data needs, including data ingestion, storage, processing, and analytics.
• Oversee the development and optimization of data pipelines, ensuring accurate data delivery to support business intelligence and analytics requirements.
• Establish and enforce data quality standards, governance policies, and best practices to ensure the integrity, accuracy, and security of our data assets.
• Partner and collaborate with management, partners, analysts, developers, architects, and engineers to support data quality efforts.
• Vendor Management: Manage relationships with third-party vendors and service providers, including cloud providers, data integration platforms, and tool vendors
• Ensure compliance with relevant data privacy regulations and industry standards, and implement security measures to protect sensitive data assets.
• Set up team performance goals and deliver performance reviews for your team members.
• Influence quality and productivity improvements through involvement in the development of new and improved procedures, process innovations, training, and changes in corporate culture.

You Have:

• 10+ years of experience in Data Engineering engineering with 5+ years of experience in managing data engineering teams.
• Bachelor’s Degree in Computer Science or equivalent degree/work experience.
• Technical expertise in data architecture, data modeling, ETL/ELT, SQL, NoSQL, and cloud-based data technologies (e.g., AWS, Azure, GCP).
• Experience designing and implementing scalable data solutions.
• Experience with agile development methodologies and tools (e.g., Scrum, Kanban)
• Knowledge of data governance, compliance, and security best practices.