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2 дня назад

Senior Databricks Migration Engineer

150 000 - 160 000$
Формат работы
hybrid
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 Databricks Migration Engineer (Databricks/Lakehouse): Leading the migration of legacy SQL Server stored procedures and Azure Data Factory pipelines to scalable Databricks Lakehouse frameworks with an accent on Delta Lake, PySpark, governance, security, and Power BI performance. Focus on designing Bronze/Silver/Gold layers, optimizing distributed data workloads, enforcing Unity Catalog access controls, and transferring technical knowledge to internal teams.

Location: Arlington, Virginia, United States — hybrid office role

Salary: $150,000–$160,000 per year

Company

hirify.global is the federal segment of Everforth, delivering technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.

What you will do

  • Lead the migration of legacy SQL Server stored procedures and Azure Data Factory pipelines to Databricks Lakehouse and Delta Lake.
  • Design scalable Bronze, Silver, and Gold data layers, reusable ETL/ELT frameworks, and dimensional models for Power BI.
  • Optimize Databricks SQL Warehouses, Delta Lake storage, query performance, concurrency, and cloud compute costs.
  • Implement Unity Catalog governance, row-level and column-level security, and integration with Microsoft Entra ID and RBAC.
  • Lead technical workshops, pair programming, code reviews, documentation, and knowledge transfer for the internal team.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in data engineering, data system development, and cloud platforms.
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, distributed computing, cloud-native databases, and storage solutions.
  • Strong experience with data warehousing, dimensional modeling, enterprise data lakes, incremental loads, metadata-driven ingestion, and data quality frameworks.
  • Proficiency in SQL, Python/PySpark, Azure Data Lake services, ETL processes, data pipelines, query optimization, and scalable data modeling.
  • Experience leading complex cross-functional data projects and technical teams.

Culture & Benefits

  • Mission-driven work supporting defense, intelligence, and federal civilian agencies.
  • Environment focused on innovation, accountability, delivery excellence, and professional growth.
  • Benefits are provided as part of the employment package.

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