Director, Field Engineering - Financial Services

Databricks · 📍 Georgia; Illinois; New York; Texas; Washington, D.C. · Diposting 2026-10-07

FULL_TIME⭐ TERVERIFIKASI

nego

Databricks is seeking a highly skilled and experienced Director, Field Engineering to join our Financial Services team. In this role, you will be responsible for leading and managing a team of field engineers, ensuring the successful implementation and adoption of our data and AI solutions in the financial sector.

This is an exciting opportunity to work with some of the world's leading financial institutions, helping them to transform their data and AI capabilities. The ideal candidate will have a strong background in field engineering, with a deep understanding of the financial services industry.

If you are passionate about technology and innovation, and have a proven track record of success in field engineering, we would love to hear from you.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

Lead and manage a team of field engineers, ensuring the successful implementation and adoption of Databricks solutions.
Work closely with financial institutions to understand their business needs and challenges.
Develop and deliver technical solutions that address the unique needs of the financial services industry.
Provide technical leadership and mentorship to field engineers.
Monitor and report on the performance of field engineers and the overall success of Databricks solutions.
Stay up-to-date with the latest trends and developments in the financial services industry and data and AI technologies.
Collaborate with other teams within Databricks to ensure the successful delivery of projects.
Represent Databricks at industry events and conferences.

🎓 Kualifikasi & Syarat

Kualifikasi:

Bachelor's degree in Computer Science, Engineering, or a related field.
10+ years of experience in field engineering, with a strong background in the financial services industry.
Proven track record of success in leading and managing a team of field engineers.
Deep understanding of data and AI technologies, including machine learning and deep learning.
Strong technical skills in programming languages such as Python, Java, or Scala.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Excellent communication and interpersonal skills, with the ability to work effectively with a diverse range of stakeholders.
Strong leadership and management skills, with the ability to inspire and motivate a team of field engineers.