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Home›Jobs›Databricks›Sr. Manager, Field Engineering
Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

🌐 Website💼 LinkedIn𝕏 TwitterAll 675 jobs →
Databricks

Sr. Manager, Field Engineering

Databricks • Sao Paulo, Brazil

Posted 1d agoSeniorLeadField engineering📍 Sao paulo
Apply Now →

Skills & Technologies

Data engineeringData scienceData warehousingBig dataGenerative ai

Overview

Databricks is seeking a Senior Manager of Field Engineering to lead a team of Solutions Architects in Sao Paulo. You'll focus on enterprise software and data solutions, requiring extensive experience in the data space.

Job Description

Who you are

You have over 10 years of experience in the data space, particularly with technical products such as data warehousing and big data solutions. Your background includes building and leading technical pre-sales teams, where you've successfully hired, onboarded, and enabled professionals in the field. You possess a deep understanding of enterprise software and analytics, and you are passionate about helping customers achieve success with innovative data solutions.

You thrive in high-growth environments and are adept at establishing relationships across various business segments. Your leadership style promotes continuous learning and development within your team, ensuring that Solutions Architects maintain advanced knowledge of the technology stack. You are committed to fostering a culture of excellence and efficiency within your Field Engineering team.

Desirable

Experience in generative AI and its applications in enterprise software will be a significant advantage. You are familiar with the latest trends in data engineering and data science, and you have a track record of driving revenue growth through effective technical sales strategies.

What you'll do

As the Senior Manager of Field Engineering at Databricks, you will lead a dynamic team of Solutions Architects focused on delivering exceptional value to customers. Your role involves collaborating closely with the Sales team and other technical segments to develop strategies that enhance customer success and drive revenue growth. You will be responsible for hiring and training new team members, ensuring they are equipped with the necessary skills and knowledge to excel in their roles.

You will oversee the operations of the Field Engineering team, implementing processes that promote efficiency and effectiveness. Your leadership will be crucial in keeping the team ahead of the technical curve, enabling them to provide comprehensive solutions tailored to customer needs. You will also engage with customers directly, understanding their challenges and demonstrating how Databricks can help them achieve their goals.

What we offer

At Databricks, you will be part of a company that is at the forefront of innovation in the data space. We offer a collaborative work environment where your contributions will have a direct impact on our growth and success. You will have access to ongoing professional development opportunities, allowing you to stay updated with the latest technologies and industry trends. Join us in our mission to empower organizations to harness the full potential of their data.

Interested in this role?

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