Engineering recruiting at Databricks comprises a team of talent acquisition specialists dedicated to helping clients identify, attract, and hire the most qualified engineering talent. Our team is geographically distributed, with a presence in the San Francisco Bay Area, Washington, and other remote locations throughout the US. Collectively, we are responsible for identifying, attracting, and recruiting engineering candidates who are transforming Databricks' product development during this critical growth stage. Our clients are the Engineering Leadership Team and their managers. This role will be responsible for building sourcing strategies and pipelines for all Software engineering roles, including Frontend and Backend roles across North America.
The Engineering Sourcing Manager will partner with engineering hiring managers, technical leaders, and recruiting managers to set and drive strategy, goals, and processes for their sourcing team focused on Backend and Frontend engineering pipelines. This leader will support their team in all aspects of the search process, ranging from preparation for client meetings, including market research and drafting specifications; developing search strategies; identifying, researching, and contacting prospective candidates; creating status reports and candidate assessments; and leading weekly status calls on sourcing deliverables.
Sourcing Strategy & Execution
Data Driven Decision Making
Leadership & Team Development
Stakeholder Partnership
Candidate Engagement & Relationship Management
Initiative & Adaptability: Demonstrable initiative and resourcefulness in navigating competitive engineering talent markets across North America
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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.
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