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Popular mid-level data role plus recognizable employer increases candidate competition.
Data engineering skills (Snowflake, ETL, SQL) are broadly transferable across industries.
Mandatory Snowflake, SQL, BI tools and 6+ years create moderately strict screening.
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Design and deploy scalable, efficient Snowflake-based data architectures aligned with business needs and best practices.
Lead data ingestion, transformation, and visualization processes within Snowflake environments ensuring compliance with data governance and security policies.
Optimize Snowflake performance, storage, and costs; integrate with cloud services and provide training and support on Snowflake usage.
Bachelor’s, Postgraduate, or Master’s degree in any stream.
Minimum 6 years relevant experience as Solutions Architect, Data Architect, or similar role.
Strong knowledge and hands-on experience with Snowflake, ETL/ELT processes, SQL, Power BI/Tableau, and at least one data integration tool.
Understanding of cloud platforms (AWS, Azure, GCP) and their integration with Snowflake.
Experienced technical leader comfortable designing and deploying large-scale Snowflake data warehouse solutions with end-to-end ownership.
Skilled in collaborating with cross-functional teams including data engineers, data scientists, and business stakeholders to deliver data-driven solutions.
Proficient in optimizing complex data pipelines, ensuring regulatory compliance, and driving operational efficiency in cloud data environments.