Senior Manager

Technical Solutions, Backline Engineering

Posted on 5/13/2023

Locations

Texas, USA • Remote

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Hive

Apache Spark

AWS

Development Operations (DevOps)

Docker

Google Cloud Platform

Linux/Unix

Microsoft Azure

Kubernetes

Python

Requirements

5+ years experience in Backline Engineering with at least 3 years of management experience
Strong knowledge on Apache Spark and other big data technologies such as HDFS or Hive
Hands on experience building automation tools to improve productivity and overall operational efficiency
Experience in Python or another scripting language
Knowledge of containerization technologies such as Docker and Kubernetes
Experience with Linux system administration and troubleshooting
Strong communication and collaboration skills
AWS Certified Solutions Architect or DevOps Engineer certification preferred

Responsibilities

Hire, train, and mentor a team of Backline Spark Support engineers who handle escalations from the Frontline team
Provide guidance to improve the Spark support experience within the Global Support Team
Hire, train, and manage SREs responsible for deployments and maintenance of regulated environments
You will oversee the development and implementation of processes and best practices to ensure reliability, scalability and performance of our production systems
Collaborate with cross functional teams to ensure operational excellence

Desired Qualifications

Good knowledge of AWS services, including EC2, S3 and RDS. Knowledge of Azure and GCP is a plus

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As a Sr. Manager of the Backline Engineering & Automation you will be responsible for managing a group of senior Apache Spark Backline Engineers along with a small team of Site Reliability Engineers (SREs). You will be responsible for overseeing day-to-day operations along with providing inputs for the tooling and automation of both support and SRE tasks. You will report to the Sr. Director of the Backline Engineering & Automation Team.

The impact you will have:

Hire, train, and mentor a team of Backline Spark Support engineers who handle escalations from the Frontline team.
Provide guidance to improve the Spark support experience within the Global Support Team.
Hire, train, and manage SREs responsible for deployments and maintenance of regulated environments.
You will oversee the development and implementation of processes and best practices to ensure reliability, scalability and performance of our production systems
Collaborate with cross functional teams to ensure operational excellence

5+ years experience in Backline Engineering with at least 3 years of management experience
Strong knowledge on Apache Spark and other big data technologies such as HDFS or Hive.
Hands on experience building automation tools to improve productivity and overall operational efficiency
Good knowledge of AWS services, including EC2, S3 and RDS. Knowledge of Azure and GCP is a plus.
Experience in Python or another scripting language
Knowledge of containerization technologies such as Docker and Kubernetes
Experience with Linux system administration and troubleshooting
Strong communication and collaboration skills
AWS Certified Solutions Architect or DevOps Engineer certification preferred

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance

#LI-REMOTE

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

1,001-5,000 employees

Website

Unified, open platform for enterprise data

Company Overview

Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Benefits

Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave