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2 дня назад

Lead Software Engineer (Databricks Platform Engineer)

117 600 - 206 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Software Engineer (Databricks Platform Engineer) (Databricks/Azure): Designing and evolving an enterprise Databricks platform for analytics, data products, machine learning, and AI solutions with an accent on reusable platform services, automation, governance, and scalable cloud architecture. Focus on building Infrastructure-as-Code and CI/CD frameworks, enabling MLflow and MLOps capabilities, and optimizing platform security, reliability, and cost efficiency.

Location: Onsite at hirify.global Corporate HQ in Irving, Texas, United States

Salary: $117,600–$206,000 per year, plus incentive eligibility

Company

hirify.global provides healthcare-focused data, analytics, and technology solutions.

What you will do

  • Lead the design, implementation, and continuous evolution of the enterprise Databricks platform.
  • Develop reusable platform services, reference architectures, engineering standards, and implementation patterns for analytics, data products, streaming, and AI workloads.
  • Build Infrastructure-as-Code, CI/CD pipelines, automation frameworks, self-service capabilities, reusable templates, and engineering accelerators.
  • Optimize platform performance, scalability, security, governance, reliability, and cost efficiency across cloud environments.
  • Enable machine learning and AI capabilities using MLflow, Model Registry, Feature Store, Vector Search, and related Databricks technologies.
  • Partner with architecture, engineering, product, data science, and client stakeholders while providing technical leadership and mentoring.

Requirements

  • 7 or more years of relevant professional experience.
  • 3 or more years of hands-on experience designing, implementing, and supporting Databricks platform solutions.
  • Strong experience with Azure, cloud-native architectures, and enterprise platform engineering.
  • Experience with Terraform, Infrastructure-as-Code, CI/CD pipelines, and infrastructure automation.
  • Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architectures.
  • Experience developing reusable platform services, automation frameworks, self-service capabilities, and engineering accelerators.

Nice to have

  • Experience with MLflow, Model Registry, Feature Store, Vector Search, or MLOps practices.
  • Databricks certification and experience with streaming or event-driven architectures.
  • Experience with enterprise-scale data platforms or the healthcare industry.
  • Relevant or advanced degree in Computer Science, Engineering, Information Systems, or a related field.

Culture & Benefits

  • Comprehensive employee benefits plan.
  • Incentive-eligible compensation.
  • Opportunities for personal and professional development.
  • Inclusive environment supporting employee contribution and organizational capability.

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