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Job Description
Structured overview of role & requirementsAbout This Role
Build and manage scalable, governed, AI-ready data products and pipelines on Snowflake and Azure for analytics, business insights, and enterprise AI solutions.
Design and optimize data products focusing on performance, security, cost efficiency, and enterprise-scale workloads.
Collaborate with business, analytics, and AI teams to deliver reusable, well-governed data assets supporting next-generation analytics and AI use cases.
Minimum Requirements
5+ years of Data Engineering experience.
Strong expertise with Snowflake Data Cloud and advanced SQL, data modeling skills.
Hands-on experience with Azure Data Factory, Azure Data Lake, Azure Functions, and related Azure services.
Familiarity with data governance, metadata management, security principles, and CI/CD DevOps practices.
Ideal Candidate Profile
Experienced in building enterprise-scale data pipelines and managing large-scale Snowflake/Azure environments with a focus on governance and performance.
Skilled in translating complex business and AI requirements into scalable, reusable data solutions.
Knowledgeable in modern ELT frameworks (e.g., dbt) and emerging AI integrations such as Generative AI, LLMs, Snowpark, and Snowflake Cortex.