Sr. Specialist Solutions Architect - Data Warehousing (financial Services)
Databricks Lakehouse
United States, United States
$219,100—$301,300 usd py
On-site with up to 30% travel
Cloud data warehousing transformation
Large scale data warehousing technologies
Lake house architecture
Databricks is seeking a Sr. Specialist Solutions Architect in Data Warehousing to help customers transition to cloud data warehousing solutions using the Databricks platform. The ideal candidate should have extensive experience in data warehousing technologies and a customer-facing role, driving cloud transformations and optimizing performance
Job Summary
Guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases.
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.
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.
Matching Summary
Match Score: 85
Databricks is seeking a Sr. Specialist Solutions Architect in Data Warehousing to help customers transition to cloud data warehousing solutions using the Databricks platform. The ideal candidate should have extensive experience in data warehousing technologies and a customer-facing role, driving cloud transformations and optimizing performance.
Salary
$219,100—$301,300 USD
Skills & Requirements
Must-have
Cloud data warehousing transformation
Large scale data warehousing technologies
Lake house architecture
Production planning for BI workloads
Performance tuning and data modeling
SQL and Python, Scala, or Java programming
Nice-to-have
Customer-facing role
Technical leadership
Competitive evaluations
Architecture design
Production migration planning
Community adoption and training
Key Requirements
8+ years of experience in data warehousing
Experience with relational databases, SQL, data analytics
Deep specialty expertise in scaling large analytical workloads
Bachelor's degree in Computer Science or equivalent experience
7 years of experience with data warehousing and big data technologies
5 years of customer-facing experience
AWS, Azure, or GCP cloud experience highly desirable