refresh

트렌딩 기업

트렌딩 기업

채용

채용Databricks

Solutions Architect - Manufacturing

Databricks

Solutions Architect - Manufacturing

Databricks

Chicago, Illinois

·

On-site

·

Full-time

·

2mo ago

보상

$139,700 - $247,300

복지 및 혜택

Learning

Parental Leave

Healthcare

Equity

Flexible Hours

필수 스킬

React

JavaScript

PostgreSQL

Location: Chicago, IL | Minneapolis, MN
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Central US.
Mission
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space
Outcomes

You work with multiple clients as the main technical voice for Databricks.
You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
You implement the technical strategy in the account, in close understanding of the strategy.
You build a movement of technical champions within the account.
You align technical strategies around Databricks solutions.
You provide structured mentorship for other team members.
Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
Experience working very large (> $1m ARR), global accounts.
Form relationships with executives and influencers.
Present a convincing point-of-view to important decision-makers that leads them down a path of success.
Technical in big data, data science and cloud.
An ability in data-driven business transformation, and driving change with data.
Production programming experience in Python, R, Scala or Java
Nice to have: Databricks Certification

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**$139,700**—$247,300 USDAbout 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.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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