Lead Data Engineer responsible for designing and architecting scalable and secure data platforms on Azure and GCP, while mentoring data engineering teams and ensuring quality and governance.
Responsibilities
Lead the design and architecture of modern, scalable, and secure data platforms in Microsoft Azure and GCP
Supervise and mentor Data Engineering teams in implementing robust pipelines and standards
Design and industrialize large-scale data processing workflows using Spark, Azure Databricks, or Dataflow
Implement DataOps and FinOps practices to optimize costs and automate deployments (CI/CD)
Collaborate with BI, Data Science, DevOps, and business teams to translate needs into data architectures
Lead design, development, and deployment of advanced computer vision and machine learning solutions for industrial and manufacturing applications.
Responsibilities
Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
Define data quality standards and establish model performance metrics to ensure production readiness.
Requirements
Master's degree in Data Science, Computer Science, Physics, or related field
XBOX is looking for a Principal Data Engineer to lead the design and build of a semantic data model on Databricks to ensure Xbox-wide metrics have consistent definitions and owners for dashboards, scorecards, and AI agents.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York City, New York, United States
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Lead the design and build of the XBOX semantic model: certified metric definitions, dimensions and metric views on Databricks.
Work with business and product owners to define and certify XBOX-wide metrics.
The AI engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations.
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