Director Of Data Engineering #3404509

Job DescriptionJob Description

Be Part of a Dynamic Team:

Join a fast-paced, innovation-driven Enterprise Information Management team leading transformative initiatives across data platforms. As Director of Data Engineering, you will shape the future of enterprise data systems, driving cloud-first strategies, modern DevOps practices, and scalable data engineering solutions that unlock valuable insights across the business.

Whats In Store For You:

• Lead the development and modernization of scalable, high-performance data platforms in a cloud-first environment
• Direct the implementation of an enterprise data catalog to enhance visibility and accessibility of data assets
• Champion agile methodologies and CI/CD pipelines to accelerate development and improve quality
• Collaborate with cross-functional teamsanalytics, engineering, product, and securityto deliver business-aligned data solutions
• Manage and grow a team of talented data engineers, fostering a culture of technical excellence and continuous improvement
• Drive the deployment of new applications and migration of legacy systems to cloud environments (AWS )
• Promote innovation through automation, AI/ML, and modern data observability tools

How You Will Make An Impact:

• Own end-to-end delivery of enterprise-scale data engineering projects aligned with strategic objectives
• Influence architectural decisions and technology standards to evolve enterprise data capabilities
• Ensure data reliability, quality, and governance through proactive design and operational practices
• Attract, mentor, and retain top engineering talent to build a world-class data engineering team
• Identify and implement automation and machine learning opportunities to streamline data processes

Are You a Director, Data Engineering Rock Star?

• Bachelors degree in Computer Science, MIS, Engineering, or equivalent experience
• 10+ years in software/data engineering, including 5+ years in leadership roles
• 5+ years of experience in data warehousing and large-scale data platforms
• 3+ years implementing cloud platforms (AWS )
• Strong knowledge of technologies including SQL, Oracle, Snowflake, AWS (S3, Glue, Redshift, Athena), Python, Spark, Scala, DevOps tools (GitHub, Jenkins), and data modeling tools (Erwin)
• Experienced with agile and DevOps methodologies; CI/CD pipeline development

Bonus: Industry certifications in AWS, Analytics, DevOps, or Agile

#Dice