Назад
8 часов назад

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

219 100 - 301 300$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Specialist Solutions Architect - Data Warehousing (Healthcare & Life Sciences) (Data Warehousing/Cloud): Guiding customers through cloud data warehousing transformations on the Databricks Data Intelligence Platform with an accent on lakehouse architecture, workload evaluation, and production migration planning. Focus on designing and optimizing large-scale analytical pipelines, tuning query and load performance, and supporting advanced technical sales engagements.

Location: United States

Salary: $219,100–$301,300 USD per year, plus potential annual performance bonus, equity, and regional benefits.

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.

What you will do

  • Guide strategic customers through cloud transformations for large-scale data warehousing workloads, from evaluation and architecture design to production deployment.
  • Architect production workloads and conduct end-to-end pipeline load performance testing and optimization.
  • Develop expertise in data warehousing evaluations and workload migration planning.
  • Support Solution Architects with proof-of-concept content, workload sizing, performance estimation, and production tuning.
  • Provide technical tutorials and training through community programs, hackathons, and conference presentations.
  • Contribute to the Databricks Community.

Requirements

  • 5+ years of experience in a technical role with data warehousing expertise, including query tuning, performance tuning, troubleshooting, governance, debugging MPP warehouses, or migration workloads.
  • Experience designing and implementing relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP technologies.
  • Production programming experience with SQL and Python, Scala, or Java.
  • Experience with AWS, Azure, or GCP and large-scale cloud analytical workloads.
  • At least 2 years of professional experience with data warehousing or big data technologies and 2 years of customer-facing pre-sales or post-sales experience.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience; ability to meet technical training and role-specific expectations within 6 months.

Culture & Benefits

  • Comprehensive benefits and perks, with details varying by region.
  • Potential annual performance bonus and equity eligibility.
  • Technical mentorship, learning opportunities, and internal training programs.
  • Travel of up to 30% when needed.
  • Commitment to an inclusive workplace and equal employment opportunity.

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