7 дней назад
Data Engineering Solutions Lead (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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