Specialist Solutions Architect - Data Warehousing (healthcare & Life Sciences)

Databricks Lakehouse

Northeast, United States
$180,000—$247,500 usd py
On-site
Cloud data warehousing transformation
Large-scale data warehousing technologies
Databricks data intelligence platform
Databricks is seeking a Specialist Solutions Architect for Data Warehousing in the healthcare and life sciences sector. The role involves guiding clients through cloud data warehousing transformations, requiring extensive technical experience and customer-facing skills

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.
  • Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations.

Matching Summary

Match Score: 85

Databricks is seeking a Specialist Solutions Architect for Data Warehousing in the healthcare and life sciences sector. The role involves guiding clients through cloud data warehousing transformations, requiring extensive technical experience and customer-facing skills.

Salary

$180,000—$247,500 USD

Skills & Requirements

Must-have

  • Cloud data warehousing transformation
  • Large-scale data warehousing technologies
  • Databricks Data Intelligence Platform
  • Data pipeline load performance testing
  • Customer-facing technical leadership

Nice-to-have

  • Strengthen technical skills
  • Community adoption and training
  • Hackathons and conference presentations

Key Requirements

  • 5+ years experience in data warehousing
  • Experience with relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP
  • Deep specialty expertise in scaling large analytical data workloads in the cloud
  • Bachelor's degree in Computer Science or equivalent experience
  • Production programming experience in SQL and Python, Scala, or Java
  • Experience with AWS, Azure, or GCP clouds
  • 2 years customer-facing pre-sales or post-sales experience

Work Rights

Not specified

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