We are seeking a senior AWS Data Engineer to join a data engineering project focused on building and operating AWS-based data solutions and Snowflake-centric data platforms. This role will design and implement data pipelines, storage, and Snowflake AI components to meet the project’s data integration and analytics needs.
This position emphasizes senior-level data engineering delivery (not application development), ownership of data mart, data warehouse, and data lake design, and the ability to produce initial architecture drafts independently for architectural review. The delivery model is optimized for nearshore cost efficiency.
Responsibilities
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Design AWS data engineering components including Lambda, S3, and database integrations.
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Build and operate data pipelines that integrate AWS systems with Snowflake.
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Implement Snowflake features including Snowflake AI components (Cortex, Cortex Code, AI functions).
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Own design and implementation of data marts, data warehouses, and data lakes.
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Develop data models and define process flows for end-to-end data integration.
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Produce initial architecture drafts independently for review by the architecture team.
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Collaborate with architects and stakeholders to refine designs and ensure alignment with project goals.
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Focus on senior-level delivery of data engineering solutions and handoff to operational teams.
Requirements
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6-9 years of hands-on experience in data engineering.
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Hands-on experience with AWS Lambda.
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Hands-on experience with AWS S3.
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Hands-on experience with databases and related AWS services.
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Hands-on experience with Snowflake, including Snowflake AI components (Cortex, Cortex Code, AI functions).
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Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow.
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Proven ability to produce initial architecture drafts independently for architectural review.
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Profile scope: senior-level data engineering experience (not application/app development).