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Resident Solutions Architect - Mumbai

Databricks

Resident Solutions Architect - Mumbai

Databricks

Mumbai, India

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Equity

필수 스킬

Python

Excel

SAP

CSQ426R257
We are seeking an experienced Resident Solution Architect (RSA) to join our Professional Services team and work directly with strategic customers on their data and AI transformation initiatives using the Databricks platform. As an RSA, you will serve as a trusted technical advisor and hands-on expert, guiding customers to solve complex big data challenges using the Databricks platform.
Must have skills:

10+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers.
Expertise in Apache Spark, distributed computing, and Databricks platform capabilities
Comfortable writing code in Python, Py Spark, and Scala.
Exceptional SQL, Spark SQL, Spark-streaming skills.
Advanced knowledge of Spark optimizations, Delta, Databricks Lakehouse Platforms
Expertise in Azure.
Expertise in NoSQL databases (MongoDB, Redis, HBase)
Expertise in data governance and security (Unity Catalog, RBAC).
Ability to work with Partner Organization and deliver complex programs.
Ability to lead large technical delivery teams.
Understands the larger competitive landscape, such as EMR, Snowflake, and Sagemaker.
Experience of migration from On-prem / Cloud to Databricks is a plus.
Excellent communication and client-facing consulting skills, withthe ability to simplify complex technical concepts.
Willingness to travel for onsite customer engagements within India.
Documentation and white-boarding skills.

Good-to-have Skills:

Experience with ML libraries/frameworks: Scikit-learn, Tensor Flow, Py Torch.
Familiarity with MLOps tools and processes, including MLflow for tracking and deployment.
Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering).
Extensive experience on Hadoop, Trino, Ranger and other open-source technology stack.
Expertise on cloud platforms like AWS and GCP.

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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모의 지원자 수

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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

Director

Mid/L4 · GLOBAL MOBILITY OPERATIONS MANAGER

2개 리포트

$162,000

총 연봉

기본급

$130,071

주식

-

보너스

-

$162,000

$162,000

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