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Senior Manager, Data Engineering & Analytics

🕒 10 days ago
Data EngineeringData ArchitectureData PipelinesAnalytics

📜 Description

  • Lead and develop a small global team across data engineering, analytics, and BI.
  • Own the architecture, reliability, and evolution of the analytical data platform.
  • Design and build scalable batch and event-driven pipelines across various data types.
  • Establish strong data-quality practices, including testing, monitoring, and incident response.
  • Deliver dashboards, recurring reports, and actionable insights to stakeholders.
  • Investigate complex data problems and implement durable solutions.

🛠️ Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience.
  • 5+ years of data engineering / data-platform experience.
  • 2+ years of technical leadership experience and mentoring engineers.
  • Deep hands-on experience designing, building, and operating production data platforms and pipelines.
  • Strong experience with data architecture, ingestion, orchestration, transformation, modeling, warehousing, and performance optimization.
  • Advanced SQL skills and strong proficiency in Python and PySpark.
  • Experience with dbt, Apache Airflow, AWS Glue, or comparable tools.
  • Experience designing dimensional models, star schemas, and curated analytical layers.
  • Demonstrated ownership of data quality and reliability, including testing, monitoring, lineage, reconciliation, and operational support.
  • Experience building dashboards, reports, semantic layers, and self-service datasets using Sigma, Looker, or comparable platforms.

Benefits

  • Flexible PTO
  • Take the time you need with discretionary time off.
  • Learning and Development
  • Dental
  • Vision
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