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3 часа назад

Data Platform Developer (AI)

95 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data Platform Developer (AI): Operating and improving a modern lakehouse built on Databricks, Delta Lake, and Unity Catalog, with an accent on production data pipelines, governance, reliability, and AI-assisted operational workflows. Focus on designing ingestion and transformation pipelines, monitoring platform health and cost, resolving incidents, and maintaining lineage, documentation, and schema quality.

Location: Hybrid role based in Addison, Texas, US, with regular in-office time and opportunities to work from home. Other listed office locations include Los Angeles, Denver, Sacramento, Boston, Chicago, Royal Oak, San Francisco, and San Diego, US.

Salary: $95,000–$130,000 annually.

Company

hirify.global is an inclusive, integrated architecture and engineering practice focused on collaborative, continually improving work across diverse perspectives and expertise.

What you will do

  • Develop, operate, and improve Bronze, Silver, and Gold ingestion and transformation pipelines integrating Workday, Deltek, Dataverse, Microsoft Graph, and collaboration systems.
  • Administer and improve the Databricks environment, including workflows, compute standards, storage, access controls, and Unity Catalog governance.
  • Maintain version-controlled platform configurations and deployment workflows, resolving differences between source control and production.
  • Implement data quality checks and schema contract tests; monitor freshness, availability, performance, and cost through alerts, dashboards, and runbooks.
  • Investigate production incidents, coordinate recovery and backfills, document root causes, and implement preventive improvements.
  • Maintain lineage, metadata, the data dictionary, and platform documentation while collaborating with analysts, application developers, business data owners, analytics colleagues, and AI developers.

Requirements

  • At least 3 years of experience building and supporting production data pipelines on a cloud data platform such as Databricks, Snowflake, Microsoft Fabric/Synapse, or BigQuery.
  • Strong SQL and Python skills with experience using Spark or a comparable distributed data processing framework.
  • Practical experience troubleshooting production jobs, recovering or backfilling data, and participating in operational incident response.
  • Experience implementing monitoring, alerting, and data reliability practices.
  • Ability to write clear technical documentation and communicate effectively with technical colleagues and business stakeholders.
  • Ability and interest to learn hirify.global’s specific tools and practices; direct experience with every listed technology is not required.

Nice to have

  • Experience with Delta Lake or Apache Iceberg, medallion architectures, Databricks Workflows, Unity Catalog, and Azure Data Lake Storage.
  • Familiarity with infrastructure as code, Git-based CI/CD, automated testing, data catalogs, lineage, and access governance.
  • Experience with Grafana, Prometheus, Loki, cloud cost optimization, AI-assisted development, or enterprise systems such as Workday, Deltek, and Dynamics.

Culture & Benefits

  • Hybrid work model supporting autonomy, collaboration, working from home, and regular in-office connection.
  • Professional open-space offices supporting collaborative and independent work.
  • Culture emphasizing continual learning, collective growth, integrity, inclusion, and openness to change and challenges.
  • Work includes written, verbal, phone, video-conferencing, and in-person communication.
  • Reasonable accommodations are available for candidates with disabilities.

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