Data Architect

3 weeks ago


Long Beach, California, United States SCAN Full time
About SCAN

SCAN Group is a non-profit organization dedicated to addressing the most pressing issues affecting older adults in the United States. With over 40 years of experience, SCAN has established itself as a leading expert in senior healthcare.

The Job

We are seeking a talented Machine Learning Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining advanced analytics environments to solve complex business challenges. This role requires close collaboration with Data and Analytics leadership to develop strategies and oversee architectural designs for Advanced Analytics, Big Data, and Machine Learning.

Key Responsibilities:
  • Designing and implementing machine learning architectures to improve enterprise analytics systems reliability, availability, and serviceability.
  • Collaborating with internal and external partners to ensure technology decisions align with the enterprise architecture framework.
  • Maintaining knowledge of current and emerging technologies, products, and trends in advanced analytics solutions.
  • Ensuring alignment of data analytics solutions with business and IT goals/objectives.
Required Skills and Qualifications:
  • A minimum of 7 years of experience in machine learning and data science, with at least 3 years of experience in machine learning solution architecture.
  • Hands-on experience with modern data warehousing in the cloud, Snowflake, SnowSQL, Azure Data Factory, Databricks, Snowpark, PySpark, Azure DevOps, Azure Fabric, Power BI, SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, NLP, and Scikit-Learn.
  • Expertise in Snowflake architecture, performance tuning, and SQL optimization.
  • Familiarity with CI/CD pipelines and version control (Git).
What's in it for you?

We offer a competitive salary range of $106,200 to $169,900 annually, an annual employee bonus program, robust wellness programs, generous paid-time-off, excellent 401(k) Retirement Saving Plan with employer match, and more.

Please note that we are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, and inclusive benefits.



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