Job Description
Publicis Sapient is looking for a Manager Data Engineering, Snowflake Platform Architecture, a top-notch technologist who will lead build of global Snowflake Platforms to enable real business outcomes for our enterprise clients. You will create impact for some of the world’s biggest brands, by translating their needs into transformative solutions that provide valuable insight. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.
Your Impact:
- Act as a Snowflake global platform lead as part of large digital transformation journeys
- Advance the application of Snowflake data platforms as a core building block to enable true business transformation
- Lead Data Migration projects to Snowflake
- Build complex data ingestion and pipelines on Snowflake
- Work closely with our clients in understanding their needs and translating them to technology solutions
- Provide expertise as a technical resource to solve complex business issues that translate into data integration and Snowflake systems designs
- Shape opportunities and create execution approaches throughout the lifecycle of client engagements
- Ensuring all deliverables are of high quality by setting development standards, adhering to the standards, and participating in code reviews
- Mentor, support, and manage team members
Qualifications
Your Skills and Experience:
- Snowflake Architecture: Deep understanding of Snowflake’s architecture, including compute, storage, and clustering concepts. Has done hands on work on Snowflake in the past 5+.
- Snowflake Platform: Experience building Snowflake as a global platform (across multiple regions) which supports an organizations multiple Lines of Business (LOB). Infrastructure experience required for this platform role. Snowflake cloud cost optimization.
- Data Modeling: Expertise in Snowflake data modeling, ELT using Snowpipe, implementing stored procedures and standard DWH and ETL concepts
- Snowflake core concepts: Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these features
- Infrastructure & Security: Deep understanding of AWS (or Azure) cloud essentials – Storage, Networking, Identity and Access Management and above all Network and Data Security, handling sensitive data and data compliance with GDRR, CCPA etc
- CI/CD: Understanding CI/CD pipelines to automate Snowflake deployments
- Terraform: Familiarity with Terraform scripts
- Snowpark experience required
- Snowflake Cortex AI experience required
- Snowpro Core certification required, Snowpro Advanced preferred