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Director of Engineering (Lakeflow)

Databricks

Director of Engineering (Lakeflow)

Databricks

Bengaluru, India

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Equity

Healthcare

Flexible Hours

Parental Leave

필수 스킬

Node.js

React

PostgreSQL

(P-1384)

About the Team:

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.
Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, Service Now, Share Point), databases (e.g., SQL Server), cloud storage, message queues, and local files.
In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.
We are looking for a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries.
The impact you will have:

Solve real business needs at a large scale by applying your software engineering
Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
Manage technical debt, including long term technical architecture decisions and balance product roadmap
Leading and participating in technical, product, and design discussions
Building, managing, and operating a highly scalable services in the cloud
Growing leaders on the team by providing coaching, mentorship, and growth opportunities
Partnering with other engineering and product leaders on planning, prioritization and staffing
Creating a culture of excellence on the team while leading with empathy

What we look for:

15+ years of industry experience building and supporting large-scale distributed systems
Building, growing, and managing high-performance teams
Ability to attract and hire engineers who meet the Databricks hiring principles
Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.

BS in Computer Science or Masters or PhD:

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.

BenefitsAt 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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Databricks 소개

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+

직원 수

San Francisco

본사 위치

$43B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

4.0

문화

4.2

커리어

3.5

경영진

4.0

72%

친구에게 추천

장점

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

단점

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

연봉 정보

34개 데이터

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1개 리포트

$171,004

총 연봉

기본급

$148,699

주식

-

보너스

-

$171,004

$171,004

면접 경험

6개 면접

난이도

3.2

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 83%

부정 17%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge