Databricks-posted 3 months ago
$161,300 - $225,800/Yr
5,001-10,000 employees

As a Specialist Solutions Architect (SSA) - 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, which requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data 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.

  • Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
  • Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization
  • Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows
  • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
  • Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
  • Contribute to the Databricks Community
  • 5+ years experience in a technical role with expertise in at least one of the following: Software Engineering/Data Engineering, Data Applications Engineering
  • Extensive experience building big data pipelines
  • Experience maintaining and extending production data systems to evolve with complex needs
  • Deep Specialty Expertise in at least one of the following areas: scaling big data workloads, migrating Hadoop workloads to the public cloud, large scale data ingestion pipelines and data migrations
  • Expert with cloud data lake technologies such as Delta and Delta Live
  • 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 architectures
  • 2 years customer-facing experience in a pre-sales or post-sales role
  • Can meet expectations for technical training and role-specific outcomes within 6 months of hire
  • Can travel up to 30% when needed
  • Annual performance bonus
  • Equity
  • Comprehensive benefits and perks
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