Specialist Solutions Architect - Data Warehousing (healthcare & Life Sciences)
Databricks
Northeast, United States
$180,000—$247,500 usd; not specified; not specifie...
On-site
Large-scale data warehousing technologies
Lakehouse architecture
Cloud data warehousing transformation
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
Job Summary
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.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
Matching Summary
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.
Salary
$180,000—$247,500 USD; Not specified; Not specified
Skills & Requirements
Must-have
large-scale data warehousing technologies
lakehouse architecture
cloud data warehousing transformation
performance tuning
data modeling
production migration planning
Nice-to-have
strengthen technical skills
mentorship and learning
internal training programs
community adoption
hackathons and conference presentations
Key Requirements
5+ years in technical role with data warehousing expertise
Experience with data warehousing technologies
Deep specialty expertise in scaling analytical workloads
Bachelor's degree in CS, IS, Engineering or equivalent
Production programming in SQL and Python, Scala, or Java
Experience with AWS, Azure, or GCP clouds
2 years with data warehousing and big data technologies
2 years customer-facing pre-sales or post-sales experience