Sr. Forward Deployed Engineer - Communications, Media, Entertainment & GamesAtlanta, GeorgiaCSQ127R318As 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 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.The impact you will haveYou 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 casesWork with engagement managers to scope variety of professional services work with input from the customerGuide 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 applicationsConsult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of DatabricksProvide an escalated level of support for customer operational issuesYou 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 needsWork with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issuesWhat we look for6+ years experience in data engineering, data platforms & analyticsWorking 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 Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.Zone 1 Pay Range: $180,656 — $248,360 USDZone 2 Pay Range: $180,656 — $248,360 USDZone 3 Pay Range: $180,656 — $248,360 USDZone 4 Pay Range: $180,656 — $248,360 USDDiversity and InclusionAt 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