Engineering Manager • Lead

Who you are

You have a strong background in leading engineering teams focused on building data infrastructure — your experience includes managing projects that require collaboration across various organizational boundaries and time zones. You understand the complexities of data ingestion and are passionate about enabling data teams to solve significant challenges. Your leadership style fosters a culture of accountability and innovation, ensuring that your team consistently meets milestones and aligns with business needs.

You possess a deep understanding of enterprise applications and databases, including Salesforce, Workday, ServiceNow, and SQL Server — this knowledge allows you to guide your team in developing effective point-and-click connectors for diverse data sources. You are adept at navigating the technical landscape of data engineering and can effectively communicate the importance of ingestion capabilities across different product surfaces.

Your ability to collaborate effectively with cross-functional teams is one of your key strengths — you thrive in environments where you can work closely with product managers, data scientists, and other stakeholders to embed ingestion capabilities into various platforms. You are committed to delivering high-quality solutions that meet the needs of users and drive business success.

Desirable

Experience with cloud storage solutions and message queues is a plus, as it complements your existing skill set in data ingestion. Familiarity with the latest trends in data engineering and AI workflows will further enhance your ability to lead the Connect organization at Databricks.

What you'll do

As the Engineering Manager for Ingestion at Databricks, you will lead a team dedicated to developing innovative data ingestion solutions for the Lakehouse platform. Your role will involve overseeing the design and implementation of connectors that facilitate seamless data integration from various sources, ensuring that our users can easily access and utilize their data.

You will be responsible for setting clear goals and expectations for your team, ensuring that they have the resources and support needed to succeed. Regularly reviewing progress against milestones will be a key part of your role, as will fostering a culture of continuous improvement and learning within your team.

Collaboration will be at the heart of your responsibilities — you will work closely with product teams to understand their needs and translate them into actionable engineering tasks. Your ability to communicate effectively with both technical and non-technical stakeholders will be crucial in driving alignment and ensuring that the ingestion capabilities meet user requirements.

You will also play a vital role in mentoring and developing your team members, helping them grow their skills and advance their careers. Your leadership will inspire your team to take ownership of their work and strive for excellence in everything they do.

What we offer

At Databricks, you will be part of a dynamic and innovative team that is at the forefront of data engineering and AI. We offer a collaborative work environment where your contributions will have a significant impact on the success of our products and the satisfaction of our users. You will have the opportunity to work on challenging projects that push the boundaries of what is possible with data.

We believe in investing in our employees' growth and development, providing opportunities for continuous learning and professional advancement. Our culture encourages open communication, creativity, and a commitment to excellence, making Databricks a great place to build your career.

Join us in our mission to enable data teams to solve the world's toughest problems — your work will help shape the future of data and AI workflows at Databricks.