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Senior Software Engineer- Data Privacy

Snowflake

Snowflake

Software Engineering
San Mateo, CA, USA
Posted on Monday, December 11, 2023

Build the future of data. Join the Snowflake team.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

The data privacy team builds services, systems, and product features to help our customers manage their data in a way that meets all the data privacy compliance requirements. This is a highly complex area involving many highly researched areas, such as k-anonymity, differential privacy. At Snowflake, we are aiming to provide customers with the high performance and easy-to-use features in those areas.

AS A SENIOR SOFTWARE ENGINEER - DATA PRIVACY, YOU WILL:

  • Design and implement data privacy related features, solutions and services to provide data classification, data anonymization, and differential privacy capabilities.
  • Work closely with PMs to drive projects from idea formulation to design and implementation.

AS A SENIOR SOFTWARE ENGINEER - DATA PRIVACY, YOU HAVE:

  • 8+ years of industry experience designing, building, and supporting large-scale distributed systems in production, with recent experience in building large scale cloud services.
  • Experience with database systems and database internals, such as query engines and optimizers are a big plus.
  • Strong fundamentals in computer science skills.
  • Expert-level development skills in Java or C++.
  • Experience in data privacy is a big plus, but not required.
  • Advanced degree in Computer Science or related degree.
  • Strong background in mathematical optimization or machine learning is a plus