DataFramed

#162 Scaling Data Engineering in Retail with Mohammad Sabah, SVP of Engineering & Data at Thrive Market

12 snips
Nov 6, 2023
In this engaging conversation, Mohammad Sabah, SVP of Engineering & Data at Thrive Market, shares insights from his extensive experience at renowned companies like Facebook and Netflix. He emphasizes the critical role of data engineering in retail for informed decision-making and enhanced customer experiences. Topics include the importance of AI in error identification, the collaborative dynamics between data engineers and analysts, and the impact of migrating to Snowflake for improved data management. Sabah also highlights essential skills for data engineers and future advancements in the field.
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INSIGHT

Squad-Based Data Engineering

  • Data engineers at Thrive Market work in cross-functional squads, collaborating with analysts and stakeholders.
  • This fosters data standardization, reusability, and a holistic approach to problem-solving.
ADVICE

Partners, Not Ticket Takers

  • Treat stakeholders and data analysts as partners, not just ticket takers.
  • Data engineers should be problem solvers who collaborate to understand user access patterns and build reusable data sets.
ANECDOTE

Data Migration at Thrive Market

  • Thrive Market migrated from Redshift and Tableau to Snowflake and Domo, consolidating 400+ data sources to about 40.
  • This reduced technical debt and created unified metric definitions, improving data reliability and stakeholder alignment.
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