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7 дней назад

Data Engineering Solutions Lead (Databricks)

Формат работы
remote (только USA)
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
Data Engineering Solutions Lead (Databricks): Architecting and operating scalable data infrastructure, pipelines, and Lakehouse solutions for advanced analytics, machine learning, and real-time processing with an accent on Medallion Architecture, Databricks, cloud services, and data governance. Focus on designing reliable large-scale ingestion workflows, optimizing data quality and performance, and leading the Data Management Community of Practice across technical and business stakeholders.

Location: Remote, based in Houston or Austin, Texas; candidates must be legally authorized to work in the United States. The role includes approximately 20% travel to other business sites.

Company

hirify.global is part of The Friedkin Group and supports automotive data capabilities through the Trailblazer initiative.

What you will do

  • Design, implement, and manage scalable data pipelines for large-scale ingestion, processing, and storage.
  • Architect and operationalize Databricks Lakehouse solutions using Bronze, Silver, and Gold Medallion Architecture layers.
  • Build and optimize data models, ETL/ELT workflows, databases, and cloud data infrastructure across AWS and Azure.
  • Support data scientists with infrastructure and Python or R-based data processing tools for analytics and machine learning projects.
  • Implement data governance, encryption, masking, access controls, lineage, and data quality practices.
  • Lead the Data Management Community of Practice, establish best practices, and communicate with technical and business stakeholders.

Requirements

  • U.S. work authorization is required at the time of hire; employer visa sponsorship is not available now or in the future.
  • Bachelor’s degree with 10+ years of data engineering experience, or a master’s degree with 5+ years of experience.
  • Required experience with Medallion Architecture in Databricks Lakehouse environments, including layer transitions, data quality, and optimization.
  • Strong knowledge of Databricks, Dataiku, AWS, Azure, Apache Spark, Hadoop, Kafka, ETL/ELT, and RDBMS technologies.
  • Proficiency in SQL and data engineering languages including Python, Java, and Scala.
  • Strong communication and executive presence, with experience leading communities of practice and presenting to senior leadership.

Nice to have

  • Experience with machine learning model deployment and management.
  • AWS Certified Solutions Architect certification.
  • Databricks Certified Associate Developer for Apache Spark certification.
  • DAMA CDMP or another relevant certification.

Culture & Benefits

  • Career growth and leadership development opportunities.
  • Supportive culture focused on innovation, excellence, and associate input.
  • Medical, dental, and vision insurance.
  • Wellness programs, retirement plans, and generous paid leave.
  • Equal employment opportunity and reasonable workplace accommodations.

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