Sr. Data Engineer

The Senior Data Engineer will be responsible for designing, governing, and evolving a centralized data platform in Snowflake by ingesting large volumes of both structured and unstructured data from multiple internal source systems. On a daytoday basis, this role works closely with other data engineers, providing handson technical guidance, architectural direction, and bestpractice recommendations to ensure data is modeled, streamed, and organized correctly within Snowflake. The engineer leverages Azure Data Factory to orchestrate batch and streaming pipelines, establishes a more structured and scalable approach to data ingestion, and ensures performance, reliability, and cost efficiency across Snowflake workloads. They partner with analytics and reporting stakeholders to support highly customized Power BI reports and semantic models, while also advising on modern Snowflake capabilities, such as AI/Cortex features where appropriate. This role serves as the onsite subject matter expert, spending significant time reviewing designs, explaining recommended approaches, documenting standards, and translating business requirements into scalable data models to support enterprise analytics and decisionmaking.

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Required Skills & Experience
• 7+ years of experience in data engineering with strong hands-on expertise in Snowflake and Power BI
• Ability to design analytics-ready data models and enterprise BI solutions and dashboards
• Strong background in Snowflake architecture design, including multi-cluster warehouses, workload isolation, and scaling strategies
• Experience with Azure Data Factory and well-versed in working with large-scale structured/unstructured datasets
• Deep understanding of ELT/ETL patterns, data warehousing concepts, and performance tuning
• Strong Snowflake experience across ingestion, optimization, governance/security, and large-scale data platform design, including hands-on use of native features and cost-efficient architecture
• Hands-on experience with Snowflake-native development and AI capabilities (Snowpark, Native Apps/Snowlit, unstructured data handling, and ML integrations)
• Advanced SQL and Python skills for data transformation, automation, and analytics enablement


Nice to Have Skills & Experience

Experience with Snowflake Cortex / AI & "super intelligence" capabilities


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.