Databricks
Evergreen - Staff Backend Software Engineer- Enterprise Apps (L6)
Databricks, Mountain View, California, us, 94039
Evergreen - Staff Backend Software Engineer- Enterprise Apps (L6)
at
Databricks .
The Enterprise Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in‑house platforms and AI‑powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.
Impact You’ll Have
Define the technical strategy and roadmap for building in‑house solutions for critical internal workflows.
Partner closely with product management, design, and other engineering teams to build end‑to‑end, AI‑powered solutions.
Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team.
Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.
What We Look For
10+ years of software engineering experience, with a strong track record of technical leadership and impact.
3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
Experience designing and building end‑to‑end, full‑stack cloud‑native applications.
Customer obsession and product engineering mindset.
Strong communication skills and ability to influence technical and business stakeholders.
History of raising the engineering quality bar, focus on execution and operational rigor.
Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.
Passion for the data intelligence space.
Why Join Us
Work on high‑impact, high‑visibility initiatives that directly contribute to Databricks' growth trajectory.
Lead and mentor a talented team of engineers solving challenging, customer‑centric problems.
Drive innovation in a fast‑paced, data‑driven environment where your work shapes the future of the company.
Benefits
Comprehensive health coverage including medical, dental, and vision.
401(k) Plan.
Equity awards.
Flexible time off.
Paid parental leave.
Family planning support.
Gym reimbursement.
Annual personal development fund.
Work headphones reimbursement.
Employee Assistance Program (EAP).
Business travel accident insurance.
Mental wellness resources.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non‑commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.
Local Pay Range:
$192,000—$260,000 USD.
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.
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.
#J-18808-Ljbffr
at
Databricks .
The Enterprise Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in‑house platforms and AI‑powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.
Impact You’ll Have
Define the technical strategy and roadmap for building in‑house solutions for critical internal workflows.
Partner closely with product management, design, and other engineering teams to build end‑to‑end, AI‑powered solutions.
Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team.
Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.
What We Look For
10+ years of software engineering experience, with a strong track record of technical leadership and impact.
3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
Experience designing and building end‑to‑end, full‑stack cloud‑native applications.
Customer obsession and product engineering mindset.
Strong communication skills and ability to influence technical and business stakeholders.
History of raising the engineering quality bar, focus on execution and operational rigor.
Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.
Passion for the data intelligence space.
Why Join Us
Work on high‑impact, high‑visibility initiatives that directly contribute to Databricks' growth trajectory.
Lead and mentor a talented team of engineers solving challenging, customer‑centric problems.
Drive innovation in a fast‑paced, data‑driven environment where your work shapes the future of the company.
Benefits
Comprehensive health coverage including medical, dental, and vision.
401(k) Plan.
Equity awards.
Flexible time off.
Paid parental leave.
Family planning support.
Gym reimbursement.
Annual personal development fund.
Work headphones reimbursement.
Employee Assistance Program (EAP).
Business travel accident insurance.
Mental wellness resources.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non‑commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.
Local Pay Range:
$192,000—$260,000 USD.
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.
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.
#J-18808-Ljbffr