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Job Overview
Senior Data Engineer / Snowflake Architect, full‑time. The role focuses on designing, developing, and optimizing Snowflake‑based data solutions while collaborating closely with client architects and stakeholders.
Responsibilities
- Lead the design, development, and optimization of Snowflake‑based data solutions for enterprise clients.
- Collaborate with the client’s internal architect and delivery teams to shape scalable, secure, and high‑performing data architecture.
- Challenge technical decisions when needed, presenting a strong point of view grounded in Snowflake best practices and modern data architecture principles.
- Assess current data platforms, pipelines, and patterns, then identify opportunities for improvement, simplification, modernization, and optimization.
- Design and implement robust batch and near real‑time data pipelines to support analytics, reporting, and advanced data use cases.
- Develop and optimize data transformation layers using SQL, Python, dbt, and related modern data engineering practices.
- Drive Snowflake platform excellence across performance tuning, workload optimization, cost efficiency, data modeling, security and governance, and orchestration and automation.
- Proactively introduce and evaluate relevant Snowflake capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, data sharing, and other platform enhancements.
- Contribute to platform strategy discussions, articulating strengths and trade‑offs of Snowflake versus other modern data platforms.
- Partner with engineers, analysts, architects, and business stakeholders to deliver production‑ready solutions in a fast‑paced consulting environment.
- Support pre‑sales, discovery, and technical advisory conversations when needed.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
- 7+ years of experience in data engineering, cloud data, or modern data platform roles.
- Strong hands‑on
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