Senior Snowflake Data Engineer
Summary
Designs and builds Snowflake-based data platforms, pipelines, and security frameworks in Azure, translating business needs into scalable analytics solutions.
Responsibilities
Design, develop, and maintain scalable Snowflake data platform architectures, including data models, security frameworks, data processing pipelines, and CI/CD processes.
Define and implement Snowflake solutions aligned with business and technical requirements.
Evaluate and select appropriate Snowflake components and features to meet platform scalability, performance, security, and operational needs.
Design and implement robust ETL/ELT data pipelines to support data ingestion, transformation, and analytics use cases.
Develop and optimize data models to ensure data quality, performance, and usability across business domains.
Implement security best practices across Snowflake and Azure environments, including access controls, roles, permissions, and data protection mechanisms.
Collaborate closely with business stakeholders to understand data needs, translate requirements into technical solutions, and deliver effective data engineering outcomes.
Provide delivery oversight, ensuring projects are delivered on time, meet quality standards, and align with architectural guidelines.
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Support continuous improvement of the data platform through performance optimization, automation, and adoption of best practices.
Requirements
Proven experience working with Snowflake as a data engineering platform.
Strong knowledge of data engineering concepts, including ETL/ELT processes, data integration, and pipeline development.
Hands-on experience with data modeling techniques and designing scalable data solutions.
Experience designing Snowflake architectures, including security, performance optimization, and platform governance.
Strong understanding of cloud platforms, particularly Microsoft Azure.
Experience implementing and managing security solutions across Snowflake and Azure environments.
Familiarity with CI/CD practices and automation for data platform deployments.
Ability to translate business requirements into technical designs and deliver practical data solutions.
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Strong analytical, problem-solving, and communication skills with the ability to collaborate across technical and business teams.
Our offer:
100% remote
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