Resident Solutions Architect
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Databricks
Summary
Join Databricks' Professional Services team as a Resident Solutions Architect (RSA) and work remotely on short-to-medium term customer engagements. You will tackle big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing and building reference architectures, guiding customers through big data projects, and providing escalated support. You will collaborate with internal and customer teams to ensure successful project delivery. This is a billable role requiring strong technical skills and excellent customer service. The position reports to the regional Manager/Lead.
Requirements
- 6+ years experience in data engineering, data platforms & analytics
- 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 Sparkβ’ 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
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Ability to travel up to 30% when needed
Responsibilities
- Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work 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 customers' successful understanding, evaluation and adoption of Databricks
- Provide an escalated level of support for customer operational issues
- Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams 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
Preferred Qualifications
Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
Benefits
- Annual performance bonus
- Equity
- Remote work