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Senior Engineering Manager - Lakeflow Pipeline

Databricks

Senior Engineering Manager - Lakeflow Pipeline

Databricks

Mountain View, California

·

On-site

·

Full-time

·

1mo ago

Compensation

$217,000 - $288,400

Benefits & Perks

Comprehensive health, dental, and vision insurance

Team events and activities

Professional development budget

Flexible work arrangements

Healthcare

Learning

Flexible Hours

Required Skills

React

TypeScript

PostgreSQL

P-1110

At Databricks, we’re on a mission to empower data teams to tackle the world’s most ambitious challenges—whether that’s reimagining global transportation or accelerating medical innovation. We do this by delivering the most advanced data and AI infrastructure on the planet, giving organizations the deep insights they need to transform their industries.

The Lakeflow Engineering team is at the forefront of this mission. We power ETL at massive scale on the Databricks Lakehouse, enabling data engineers everywhere to build high-performance, reliable, and scalable pipelines. We are the pioneers of declarative ETL, with a product line that includes: Delta Live Tables, Streaming Tables, and Materialized Views—helping users author and run complex data workflows with ease.

We're now looking for a visionary Engineering Leader to lead the Lakeflow Pipelines Engine team into its next chapter. This is a rare opportunity to shape the future of ETL by driving innovation at the intersection of AI, distributed systems, and developer experience. You’ll define the technical strategy, elevate engineering excellence, and cultivate a culture of bold thinking and customer obsession.

What You'll Do:

  • Inspire and lead a world-class team building the next generation of ETL systems—pushing the boundaries of performance, scalability, and usability.

  • Champion engineering excellence across system architecture, API design, and operational rigor—with a relentless focus on craftsmanship.

  • Shape a long-term technical vision that anticipates industry shifts and aligns with our product roadmap.

  • Build and grow exceptional talent—hiring outstanding engineers and mentoring them into future leaders.

  • Collaborate deeply across functions to translate real customer needs into innovative, durable solutions.

  • Own quality and reliability at scale—delivering systems that are trusted, observable, and built to last.

What We’re Looking For:

  • 3+ years of experience leading high-impact engineering teams known for delivering excellence.

  • 5+ years building complex, performance-critical systems (e.g., distributed computing, Spark, databases).

  • A proven track record of shipping infrastructure that’s powerful, simple, and loved by users.

  • A collaborative mindset and experience working closely with product and customers to drive outcomes.

  • A deep respect for software craftsmanship and a practical approach to balancing innovation with long-term technical health.

  • The ability to attract and nurture top-tier talent while cultivating a culture of trust, ownership, and execution.

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 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 anticipates 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.

Local Pay Range:

$217,000—$288,400 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. 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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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge