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13 дней назад

Senior Data Platform Engineer (Databricks/Snowflake)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Platform Engineer (Databricks/Snowflake): Operating and improving isolved's data platform infrastructure, ingestion pipelines, transformation workflows, and cloud resources with an accent on Databricks, Snowflake, Fivetran, dbt, Terraform, and CI/CD automation. Focus on troubleshooting platform incidents, implementing IAM and RBAC controls, optimizing data processing with PySpark and Python, and maintaining reliable production systems under architectural standards.

Location: USA

Company

hirify.global provides human capital management solutions covering HR, payroll, benefits, workforce management, talent management, analytics, and AI through its People Cloud platform.

What you will do

  • Administer, tune, and monitor Databricks workspaces, including Unity Catalog, access controls, service principals, cluster policies, secrets, and cost optimization.
  • Administer Snowflake warehouses, roles, RBAC, resource monitors, and secure data sharing configurations.
  • Build and maintain Fivetran connectors, incremental ingestion pipelines, dbt models, tests, documentation, and Workato integration workflows.
  • Provision cloud and data platform infrastructure with Terraform and maintain CI/CD automation with GitHub Actions.
  • Develop PySpark data processing jobs and Python automation tools while supporting Airflow or equivalent workflow orchestration.
  • Monitor platform health, troubleshoot incidents, perform root-cause analysis, maintain Power BI, and document runbooks, configurations, and operational standards.

Requirements

  • 5+ years of hands-on experience in data platform engineering, infrastructure engineering, data engineering, or a related discipline; typically 6 years with a bachelor's degree or equivalent experience.
  • Bachelor's degree in computer science, software engineering, information systems, or a related field, or equivalent practical experience.
  • Deep hands-on experience with Databricks, Snowflake, Fivetran, dbt, and Workato.
  • Strong experience with Terraform, CI/CD, GitHub Actions, PySpark, Python, and Git-based development workflows.
  • Working knowledge of AWS and/or Azure, plus strong troubleshooting, incident response, root-cause analysis, and communication skills.
  • Ability to operate within architectural standards and collaborate with platform architects, data engineering, analytics, and integrations teams.

Nice to have

  • Professional services experience.
  • Seasoned customer engagement experience.

Culture & Benefits

  • Work within a cross-functional environment spanning architecture, data engineering, analytics, and integrations.
  • Contribute technical judgment and improvement ideas while principal architects establish architectural standards.
  • Equal opportunity workplace with reasonable accommodation available for qualified candidates.

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