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Sr. Engineering Manager

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Databricks

1mo ago

  • Job
    Full-time
    Senior & Expert Level
  • Software Engineering
    Engineering
  • Berlin

AI generated summary

  • You need 7+ years of engineering experience, 4+ years in management, strong hiring and coaching skills, collaboration with cross-functional teams, and knowledge of Scala, Java, or Python. BS in CS or related field required.
  • You will hire top engineering talent, establish technical standards, mentor engineers, develop a multi-year vision, and promote cultural principles focused on customer obsession and teamwork.

Requirements

  • At least 7 years of Engineering experience and 4 years of Engineering Management experience.
  • Ability to attract, hire, and coach world-class engineers. Can uplevel existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of team and guide their careers.
  • Partner with Product, Sales, and Customers to develop new features.
  • Good knowledge of Scala, Java, Python, or similar languages.
  • BS (or higher) in Computer Science, or a related field.

Responsibilities

  • Hire a world-class software engineering team, from sourcing to closing.
  • Establish high technical standards through processes and culture.
  • Mentor and coach engineers to help them carve out a fulfilling career, build strong individual contributors and leaders.
  • Help develop a multi-year vision with incremental deliverables.
  • Evangelize and uphold our cultural principles: be customer obsessed, be data-driven, team work makes the dream work, and own it.

FAQs

What is the role of a Sr. Engineering Manager at Databricks?

The Sr. Engineering Manager will lead the Unity Catalog team in Berlin, focusing on building and establishing a governance solution for data and AI assets on the Databricks Lakehouse. This role involves solving technical challenges, managing critical initiatives, and collaborating with senior leaders across teams.

What qualifications are required for this position?

Candidates should have at least 7 years of engineering experience and 4 years of engineering management experience, along with a strong ability to attract, hire, and coach engineers. A Bachelor's degree (or higher) in Computer Science or a related field is also required.

What programming languages should candidates be familiar with?

Good knowledge of Scala, Java, Python, or similar programming languages is preferred for this role.

What is the team culture like at Databricks?

The culture at Databricks emphasizes being customer obsessed, data-driven, and a collaborative team environment. It also focuses on individual ownership and creating a fulfilling career path for team members.

What are the primary responsibilities of the Sr. Engineering Manager?

The primary responsibilities include hiring and building a world-class software engineering team, establishing high technical standards, mentoring engineers, developing a multi-year vision, and collaborating with Product, Sales, and Customers to create new features.

How does Databricks prioritize diversity and inclusion?

Databricks is committed to fostering a diverse and inclusive culture. Their hiring practices are inclusive and comply with equal employment opportunity standards, ensuring that candidates are considered without regard to various protected characteristics.

Are there opportunities for career advancement in this role?

Yes, the Sr. Engineering Manager will have opportunities to mentor and coach engineers, helping them grow into strong individual contributors and leaders, which fosters career advancement.

What types of benefits does Databricks offer employees?

Databricks provides comprehensive benefits and perks tailored to meet the needs of its employees. Specific details can be found on their benefits website.

Is experience in managing critical initiatives required for this role?

Yes, managing critical initiatives and solving complex technical problems is a key aspect of this role.

What is Unity Catalog, and why is it important?

Unity Catalog is a unified governance solution for data and AI assets on the Databricks Lakehouse. It provides centralized access control, auditing, lineage, and data discovery capabilities, making it a critical component of the Data Lakehouse platform.

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).