mid operations Data Annotator ic
$152,300 – $247,500
USD per year

About this role

Databricks is hiring a mid-level Data Annotator in the operations function based in United States. The posting calls out experience with Python, Java, Scala, SQL. Compensation is listed at $152,300–$247,500 per year.

Role
Data Annotator
Function
operations
Level
mid
Track
Individual contributor
Employment
Full-time
Location
United States
Department
Field Engineering

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Job description

from Databricks careers

P-226

As a Sr. Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning.

The impact you will have:

  • 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 competitive data warehousing evaluations or helping set up successful workload migrations.
  • This is an excerpt. Read the full job description on Databricks careers →
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