Specialist Solutions Architect, Data Warehousing

Summary

Join Databricks as a Specialist Solutions Architect (SSA) - Data Warehousing and guide customers in their cloud data warehousing transformation using Databricks. This customer-facing role requires hands-on experience with large-scale data warehousing technologies and lakehouse architecture. You will provide technical leadership, prove the value of the Databricks platform, become a technical expert, assist Solution Architects, and contribute to the Databricks community. The position requires 5+ years of experience in a technical role with expertise in data warehousing, experience with various data warehousing technologies, and a Bachelor's degree or equivalent. The role involves up to 30% travel. Databricks offers a competitive salary and benefits package.

Requirements

• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP
• 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
• Experience with the AWS, Azure, or GCP clouds
• 2 years of professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 2 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

• Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
• Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

Preferred Qualifications

• Experience scaling large analytical data workloads in the cloud that are performant and cost-effective
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools
• Experience migrating on-premise EDW workloads to the public cloud

Benefits

• Annual performance bonus
• Equity