Sr. Engineering Manager - Lakeflow Designer

At Databricks, we are passionate about enabling data teams to 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 tackle 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.

The Authoring team at Databricks builds the main user experience which drives the workloads for most of the company’s revenue.  Within this organization, the Lakeflow Designer team is on a mission to enable less technical users to transform data with ease through a low-code and AI-first experience. We are vastly simplifying the way our customers build SQL and ELT pipelines by combining a visual editing surface with agentic assistance, making powerful data insights accessible to this new persona.

The Role:

As the Engineering Manager for Lakeflow Designer, you will lead a seed team of engineers to build a brand new Visual and AI-first editing experience for Databricks SQL. You will play a pivotal role in bringing this product from its current Private Preview stage to General Availability (GA) in the next 6-9 months. You will be responsible for scaling the team from its current size of ~6 engineers to 10-15 over the next year. This is a high-visibility frontend-focused role where you will guide the development of intuitive user experiences and embedded agentic assistants that have the potential to completely change how customers interact with and analyze data on the platform.

The impact you’ll have:

• Lead Product Launch: Drive the roadmap and execution to launch Lakeflow Designer to General Availability (GA) within 6-9 months, ensuring we bring the product to market and delight users.


• Scale the Team: Rapidly hire and build out the team in a fast-moving area, growing the engineering headcount to 10-15 members.


• Drive Technical & UX Strategy: Oversee a frontend-heavy technology stack (React, TypeScript), championing high-quality UX and the integration of Gen AI/LLMs to build agentic capabilities.


• Unlock Data Insights: Build an experience that opens up the platform to a broader, less technical audience, enabling entire new categories of customers to get insights from their data.


• Cross-Functional Collaboration: Partner closely with a strong Technical Lead, Product Management, and Design team to define the product vision and ensure successful execution.

What we look for:

• 10+ years of software engineering experience, with a strong track record of technical leadership and impact.


• 5+ years of Engineering Leadership: Experience leading frontend teams, with a proven ability to manage and grow high-performing engineering groups.


• Frontend Expertise: Strong technical background in React, TypeScript, and JavaScript.


• Product & UX Passion: A strong passion for product and user experience; you care deeply about how users interact with the tool.


• Zero-to-One Experience: Experience bringing a product from "zero to one" is a significant plus.


• AI/LLM Interest: Experience building Agents and working with LLMs is a bonus.


• Fast-Paced Execution: Ability to thrive in a fast-moving environment, specifically with experience hiring and scaling teams rapidly.

Why Join Us?

• Redefine SQL Authoring: SQL is the main way our customers interact with their data; this role offers the chance to completely change how customers write SQL across the Databricks platform.


• Intersection of AI and UX: Work at the cutting edge of Gen AI, building agentic assistants that genuinely simplify complex workflows,.


• High Impact: Lead a team that is building a product with the potential to unlock data insights for vastly more users than what is possible today with raw SQL or notebooks.