13 дней назад
Senior Data Platform Engineer (Databricks/Snowflake)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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