AWS / Snowflake Data Platform Lead

We are representing a well established consumer brand undergoing a major AI transformation initiative.

The organization is designing and standing up a next generation, AI ready data platform on AWS, with Snowflake at the core. They are looking for a professional who will take ownership of the platform as the external advisory engagement transitions, ultimately becoming the internal Data Platform Lead.

This is not a "ticket taking" data engineering role. This is a build, architect, and own mandate.

The business is investing heavily in foundational data capabilities to support:

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GenAI enablement
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Revenue management and pricing optimization
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Marketing analytics
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Retail and consumer insights
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Enterprise data modernization

You would be stepping in at a critical inflection point, helping shape the long term data and AI backbone of the organization.

What You'll Be Doing:

Platform Ownership

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Build and scale ingestion pipelines and core platform foundations
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Own architecture, governance, reliability, and scalability
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Enhance and mature the medallion architecture
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Implement Snowpark based compute models

Engineering Execution

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Develop within Snowflake (Snowpark, Snowpipe, streaming)
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Leverage AWS core data and compute services
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Drive transformations with dbt
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Integrate marketing, retailer, Nielsen, and consumer behavior data sources
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Use Fivetran for ingestion workflows
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Manage infrastructure as code via Terraform
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Maintain version control standards via GitHub

Strategic Impact

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Translate business use cases into scalable platform components
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Advise leadership on what should or should not be built, and why
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Act as the internal SME across Snowflake and AWS data engineering
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Partner with business stakeholders and product owners
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Lead knowledge transfer and transition planning from consulting to in house

This individual will ultimately lead the internal data platform function and collaborate closely with a separate application engineering team.

What We're Looking For

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Strong hands on Snowflake experience, including Snowpark and advanced ingestion patterns
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Deep AWS data platform expertise
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Experience building and scaling enterprise data platforms end to end
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Architecture level thinking, not just pipeline development
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Experience supporting analytics and AI use cases
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Strong stakeholder engagement and communication skills
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Ability to operate independently and define standards





Weekly visits to the office in New York are strongly preferred