Manager, Engineering - AI/BI
Databricks
CA$171,100 - CA$227,500 / year
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Description
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 this role
Leading Databricks' AI/BI engineering efforts means managing the teams building the visualization and business semantics layers of a data platform used by 70% of the Fortune 500. You'll oversee full-stack engineers tackling problems across dashboards, interactive analytics, low-code authoring, and governed business metrics. Reporting to a Senior Manager of Engineering, you'll be responsible for hiring and developing talent, establishing processes that balance velocity with quality, and making long-term technical architecture decisions that keep the product both powerful and operationally sound.
This role suits someone with at least two years managing SaaS engineering teams and five years working with distributed systems and platform infrastructure. You'll need a track record of scaling teams from small to 20+ people, attracting strong talent, and collaborating across product, customer success, and peer engineering teams. A CS degree or equivalent is expected. The position is based in Vancouver and requires in-office presence.
The salary range is $171,100–$227,500 CAD, with additional compensation potentially including performance bonuses and equity. This is an opportunity to shape how business users interact with data at scale, in a company where technical leadership directly influences product direction.
How this employer is doing
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- News: Legal Issue
- Active Visa Sponsor
In the news
News | Databricks doubles down on New York with office expansion, CoStar
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Pay for this role
$171,100 to $227,500 per year
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