Sr. Forward Deployed Engineer (FDE) - Public Sector

Eligibility & Security ClearanceU.S. citizenship and eligibility for a U.S. government Secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.Role OverviewAs 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 get the 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.ResponsibilitiesWork 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, third‑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 lead to customers' successful understanding, evaluation and adoption of Databricks.Provide an escalated level of support for customer operational issues.Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' 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.Qualifications6+ years experience in data engineering, data platforms & analyticsComfortable writing code in either Python or ScalaWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsDesign and deployment of performant end‑to‑end data architecturesExperience with technical project delivery – managing scope and timelinesDocumentation and white‑boarding skillsExperience working with clients and managing conflictsBuild skills in technical areas which support the deployment and integration of Databricks‑based solutions to complete customer projectsTravel to customers 20% of the timeDatabricks CertificationPay RangeZone1: $180,656—$248,360 USDZone2: $180,656—$248,360 USDZone3: $180,656—$248,360 USDZone4: $180,656—$248,360 USDBenefitsAt 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, visit Employment OpportunityOur 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.ComplianceIf 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.#J-18808-Ljbffr

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