Resident Solutions Architect - Digital Native Business

Role Overview As a Big Data Solutions Architect (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 regional Manager/Lead. Key Responsibilities You will work on 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. 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. Qualifications – 6+ Years 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 Spark™ 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 to customers 20% of the time. Databricks Certification. Qualifications – 9+ Years 9+ 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 Spark™ and knowledge of Apache Spark™ runtime internals Familiarity with CI/CD for production deploymentsWorking knowledge of MLOps Capable of design and deployment of highly 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. Qualifications – 4+ Years 4+ years experience in data engineering, data platforms & analytics Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) Comfort with object‑oriented and functional programming in Scala and Python Experience in building scalable streaming and batch solutions using cloud‑native components Strong knowledge of distributed computing with Apache Spark™ Travel to customers 20% of the time. Nice to have: Databricks Certification. Pay Range Local Pay Range: $180,656 – $248,360 USD Benefits Databricks offers a comprehensive benefits package that includes health, dental, vision, paid time off, and equity options. Full details are available to candidates in the region. EEO Statement 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. #J-18808-Ljbffr