必备技能
Python
AWS
GCP
Azure
Kafka
Spark
Scala
Customer Service
CSQ326R400
As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Manager, Professional Services.
The impact you will have:
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You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs
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Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
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Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
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Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
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10+ years experience with** Big Data** Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
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6+ years of experience working on Big Data Architectures independently
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Strong experience working in the Databricks ecosystem
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Comfortable writing code in either Python or Scala.
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Experience working across Cloud Platforms (GCP / AWS / Azure)
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Documentation and white-boarding skills.
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Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
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Willingness to travel for onsite customer engagements within India.
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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关于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+
员工数
San Francisco
总部位置
$43B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐率
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
缺点
Long hours and heavy workload
Poor work-life balance
High pressure and stress
薪资范围
34个数据点
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1份报告
$171,004
年薪总额
基本工资
$148,699
股票
-
奖金
-
$171,004
$171,004
面试评价
5条评价
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 80%
负面 20%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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