Resident Solutions Architect

**Job Summary**:
**Job Type**

**Seniority**

Mid

**Years of Experience**
Information not provided

**Tech Stacks**
Delta Lake Informatica Snowflake AWS Oracle Analytics Teradata Apache Databricks Azure kafka Bootstrap SQL Scala Python

CSQ125R95
As a Big Data Resident Solutions Architect (RSA) 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 Sr. Director, Professional Services.
**The Impact You Will Have**
- You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs
- Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs 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**
- 5+ years experience with Big Data Technologies such as Apache Spark, Kafka, Teradata, Oracle, informatica, Snowflake or Cloud Native Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
- Comfortable writing code in SQL, with proficiency in either Python or Scala.
- Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
- Experience with developer operations and continuous integration/delivery for production deployments.
- Working knowledge of MLOps.
- Experience with technical project delivery - managing scope and timelines, preferably in data platform migration project
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Willingness to travel to customers 20 - 30% of the time
- Ability to communicate and collaborate in Mandarin and English fluently to deliver domestic and overseas projects.
- Nice to have:

- Databricks certification.
- Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies
- Experience in data modeling and governance implementation.
- Proficiency in Business Intelligence build-out.
- Hands-on in machine learning model training, evaluation, and deployment. Knowledge in LLM use cases such as RAG.**Benefits**
- Benefits allowance
- Equity awards
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance Mental wellness resources
**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.
**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