Role at a glance
- Salary
- CA$171.1K – CA$227.5K/yr
- Location
- Canada - Vancouver
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- BS or higher in Computer Science, or a related field
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Role Summary
The Engineering Leader will lead teams within Databricks' AI/BI organization focused on data visualization and Unity Catalog Business Semantics. The role supports products and initiatives involving interactive dashboards, augmented analytics, low/no-code authoring, and business semantics, while building scalable and operable software.
What You'll Do
- Lead a team of full-stack engineers and subject matter experts focused on one of the team's initiatives.
- Oversee recruitment and talent development.
- Build processes to implement product vision and strategy according to organizational goals and priorities.
- Build high-quality software that is easy to operate.
- Manage technical debt and long-term technical architecture decisions while balancing the product roadmap.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Great at hiring and developing talent; great at creating efficient processes that increase velocity and quality; experience scaling engineering teams from 5 to 20+; experience managing distributed teams across multiple locations; strong track record of attracting, hiring, and retaining top engineering talent; team player that will work with other departments and engineering teams; adaptability and resilience in a fast-paced, rapidly evolving tech environment.
Required
- Great at hiring and developing talent
- Great at creating efficient processes that increase velocity and quality
- 2+ years of experience in managing teams that build and operate systems in a SaaS environment
- 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve...
- Have experience in scaling engineering teams from 5 to 20+
- Team player that will work with other departments (PM, CS) and engineering teams
- BS or higher in Computer Science, or a related field
- Strong track record of attracting, hiring, and retaining top engineering talent
Original job description
Content provided by the employer
Original job description
Content provided by the employer
RDQ226R533
At Databricks, we are passionate about helping data teams 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.
We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business.
We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products.
You will report directly to the Senior Manager of Engineering.
The main responsibilities include:
- You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives.
- You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
- You will build processes to implement product vision and strategy, according to organizational goals and priorities.
- You will build software that is not just high quality, but easy to operate.
- You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.
What we look for:
- Great at hiring and developing talent
- Great at creating efficient processes that increase velocity and quality
- 2+ years of experience in managing teams that build and operate systems in a SaaS environment
- 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers
- Have experience in scaling engineering teams from 5 to 20+
- Team player that will work with other departments (PM, CS) and engineering teams.
- BS or higher in Computer Science, or a related field
- Strong track record of attracting, hiring, and retaining top engineering talent
- Experience managing distributed teams across multiple locations.
- Adaptability and resilience in a fast-paced, rapidly evolving tech environment
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 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 anticpates 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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.