Remote Specialist Solutions Architect, Data Engineering

Summary

Join Databricks as a Specialist Solutions Architect (SSA) - Data Engineering to guide customers in building big data solutions on Databricks. As a customer-facing role, you will work with Solution Architects and provide technical leadership to guide strategic customers to successful implementations.

Requirements

• 5+ years experience in a technical role with expertise in at least one of the following: Software Engineering/Data Engineering
• Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value
• 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: Experience scaling big data workloads (such as ETL) that are performant and cost-effective
• Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP
• Experience with large scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines
• 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

Responsibilities

• Provide technical leadership to guide strategic customers to successful implementations on big data projects
• 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)

Benefits

• Pay Range Transparency
• Annual performance bonus
• Equity