Sr Specialist Solutions Engineer
Vor 7 Tagen
FEQ225R26
As a Sr Specialist Solutions Engineer (Sr SSE) - Data Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache SparkTM and expertise in other data technologies. You will help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, or more. #LI-Onsite
The impact you will have:
Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deploymentArchitect production level data pipelines, including end-to-end pipeline load performance testing and optimizationBecome a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflowsAssist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architecturesProvide tutorials and training to improve community adoption (including hackathons and conference presentations)Contribute to the Databricks CommunityWhat we look for:
4+ years experience in a technical role with expertise in at least one of the following: Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Apache SparkTM or other big data solutions. Experience building big data pipelines.Maintain and extend production data systems to evolve with complex needs.Deep Specialty Expertise in at least one of the following areas: Experience with high-performance, production data processing systems (batch & streaming) on distributed infrastructure.Experience building large-scale real-time stream processing systems; expertise in high-volume, high-velocity data ingestion, change data capture, data replication, and data integration technologies.Experience migrating and modernizing Hadoop jobs to public cloud data lake platforms, including data lake modeling and cost optimization. Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.Production programming experience in SQL and Python, Scala, or Java.2+ years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures2 years customer-facing experience in a pre-sales or post-sales roleThis role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.Benefits
Private medical insuranceLife, accident & disability insurancePension PlanVision ReimbursementEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonusOur 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.
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