Job Specifications
Req ID: CSQ226R108
We have 9 open positions based in our London office.
As a 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 get the most value out of their data. RSAs are billable and know how to complete projects according to specifications with excellent customer service. You will report to the regional Manager/Lead.
The Impact You Will Have
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalising customer use cases
Work with engagement managers to scope a variety of professional services with input from the customer
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
Consult on architecture and design; bootstrap or implement customer projects, which leads to a customer's 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 the customer's needs.
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution of engagement-specific product and support issues.
What We Look For
Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices
Comfortable writing code in either Python or Scala
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with Apache Spark(tm) and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps
Design and deployment of performant end-to-end data architectures
Experience with technical project delivery - managing scope and timelines.
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.
Travel is required up to 10%, more at peak times.
Databricks Certification
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide -- including Comcast, Conde 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(tm), 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.
About the Company
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with 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.
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