P-995

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first Engineering Managers in the Database Infra team at Databricks India, you will work with your team to build infrastructure and products for the Databricks platform at scale. 

We are seeking an experienced Engineering Manager to lead our Database Infrastructure and Best Practices team in Bangalore (India), focusing on the design, maintenance, client access libraries and optimization of our MySQL database stack. In this role, you will guide a team of engineers to ensure the reliability, performance, and security of our databases. You will work closely with multiple stakeholders across the organization to enhance database access patterns, client libraries and develop proactive mechanisms for identifying and addressing potential failures before they impact the business. Your leadership will drive continuous improvements in our database infrastructure, aligning with business goals and industry best practices.

The impact you will have:

• Lead and mentor a team of engineers responsible for maintaining and optimizing MySQL infrastructure and best practices.
• Collaborate with software engineering and other stakeholders to improve database access patterns and performance.
• Develop and implement strategies for proactive failure detection and resolution to ensure database reliability and availability.
• Oversee the implementation of best practices for database design, security, and access management.
• Drive strategic initiatives to enhance the scalability, performance, and resilience of database systems.
• Manage database backup, replication, disaster recovery, and incident response processes.
• Establish and track key performance indicators (KPIs) to monitor database health and efficiency.
• Provide technical guidance and leadership in addressing complex database-related challenges.
• Foster a culture of continuous learning, innovation, and process improvement within the team.

What we look for:

• 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
• 7+ years of proven managerial experience in managing and mentoring engineering teams, particularly in database infrastructure.
• Technical expertise in MySQL or other high transaction OLTP database operations, optimization, and security best practices.
• Demonstrated success in working with multiple stakeholders to optimize database access patterns and improve system performance.
• Experience in developing and implementing proactive mechanisms for failure detection and incident prevention.
• Excellent leadership, communication, and project management skills.
• Ability to collaborate effectively with cross-functional teams and stakeholders.

Benefits

• Health insurance reimbursement and collective healthcare scheme
• Life, accident and disability coverage
• Company pension
• Paid parental leave
• Annual vacation bonus
• Equity awards
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources 

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. 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.