招聘
Benefits & Perks
•Flexible work
•Stock options
•Development budget
•401(k) matching
•Equity
Required Skills
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:
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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.
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4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers.
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Expertise in Apache Spark, distributed computing, and Databricks platform capabilities
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Comfortable writing code in Python, Py Spark, and Scala.
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Exceptional SQL, Spark SQL, Spark-streaming skills.
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Advanced knowledge of Spark optimizations, Delta, Databricks Lakehouse Platforms
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Expertise in Azure.
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Expertise in NoSQL databases (MongoDB, Redis, HBase)
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Expertise in data governance and security (Unity Catalog, RBAC).
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Ability to work with Partner Organization and deliver complex programs.
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Ability to lead large technical delivery teams.
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Understands the larger competitive landscape, such as EMR, Snowflake, and Sagemaker.
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Experience of migration from On-prem / Cloud to Databricks is a plus.
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Excellent communication and client-facing consulting skills, withthe ability to simplify complex technical concepts.
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Willingness to travel for onsite customer engagements within India.
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Documentation and white-boarding skills.
Good-to-have Skills:
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Experience with ML libraries/frameworks: Scikit-learn, Tensor Flow, Py Torch.
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Familiarity with MLOps tools and processes, including MLflow for tracking and deployment.
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Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering).
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Extensive experience on Hadoop, Trino, Ranger and other open-source technology stack.
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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.
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
Series IDatabricks, 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%
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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
Director
Mid/L4 · Global Mobility Operations Manager
2 reports
$149,582
total / year
Base
$130,071
Stock
-
Bonus
-
$144,210
$154,953
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
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