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Mid-level metro data role with popular title but Snowflake specialization reduces applicant density.
Data engineering skills are transferable, though financial domain and ITIL practices increase domain specificity.
Explicit 6+ years requirement and mandatory Snowflake/Kafka expertise make filters highly strict.
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Lead and own end-to-end data engineering projects from design through production with minimal supervision.
Design and guide enterprise-aligned data architecture and develop scalable data pipelines and platform solutions.
Collaborate with stakeholders and Product Management to deliver technical solutions and manage incident/problem/change resolution adhering to ITIL processes.
Minimum 6 years of experience in Data Engineering or related roles.
At least 4 years hands-on experience with Snowflake Cloud Data Platform and its features like Streams, Snowpipe, Tasks, Snowpark.
Bachelor's degree preferred or equivalent experience.
Work Experience Required: 6+ years in data engineering or related domains.
Experienced in managing the full data warehouse lifecycle including design, implementation, operations, and optimization.
Strong technical expertise in data modeling (Dimensional modeling, Star/Snowflake schema), SQL, data warehousing and data lake concepts.
Familiar with Agile/Scrum delivery, CI/CD practices for data platforms, and data ingestion/streaming technologies such as Kafka.