Senior Manager, Technical Solutions, Backline Engineering
Job Description
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 lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M 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.
Date Posted
04/18/2023
Views
3
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