Chief Data Architect

6 days ago


San Francisco, California, United States Harnham Full time

Location: Harnham

We are estimating an annual salary of $125,000 to $145,000 for this role.

About the Role

The Chief Data Architect will play a crucial part in shaping our data strategy and driving innovation. Key responsibilities include designing and implementing large-scale data processing pipelines, overseeing machine learning model integration, and ensuring high-quality, scalable, and reliable data platforms.

Data Engineering Expertise

  • Drive the design, implementation, and optimization of data pipelines using Spark and Python for heavy-volume data processing.
  • Build and enhance large-scale data platforms, data lakes, and data warehouses using Databricks and Delta Lake.
  • Oversee the integration of machine learning models into production systems, including data preprocessing, feature engineering, and model deployment.
  • Maintain near-real-time, batch, and real-time data pipelines that meet required performance metrics.
  • Work with deep learning frameworks like PyTorch, TensorFlow, and Keras to integrate ML models in production.

Requirements and Qualifications

  • 8-10 years of experience in data engineering, data processing, or equivalent.
  • Strong proficiency in Python and Spark (5+ years) for building scalable ETL workflows and data pipelines.
  • Hands-on experience with ETL workflows, data pipeline design, and large-scale data processing.
  • Experience with Databricks or similar data platforms for managing large-scale data workflows.
  • Expertise in machine learning model deployment and data platform architecture.


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