Senior Specialist Solutions Architect - Data Engineering

Summary

Join Databricks as a Sr. Specialist Solutions Architect (SSA) - Data Engineering and guide customers in building big data solutions on the Databricks platform. This customer-facing role requires hands-on experience with Apache Spark™ and expertise in other data technologies. You will help customers design and implement essential workloads, aligning their technical roadmaps. As a go-to expert, you'll strengthen your technical skills through mentorship and training programs. You will build production-ready architectures, serve as a trusted technical advisor, handle complex engagements, and drive initiatives to improve efficiency. This remote-friendly role requires significant experience in data engineering and big data technologies, along with strong customer-facing skills.

Requirements

• 7+ years experience in a technical role with expertise in the following: Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions
• 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 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
• 5+ years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
• 5+ years of 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

Responsibilities

• Build production ready architectures using novel patterns and leveraging non-standard components to address customer requirements
• Serve as the trusted technical advisor to technical leads and executives
• Handle longer-term, complex engagements and/or a variety of short-term requests for assistance
• Originate and drive initiatives to improve efficiency beyond an immediate team
• Drive projects and initiatives with non-linear impact such as creating customer facing collateral (e.g., demos, blog articles, architectures, webinars), 10X or labs projects
• Contribute to the Databricks Community

Benefits

• Annual performance bonus
• Equity
• Remote work