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Tier-1 brand, mid-level data role in a metro location with broad demand increases competition.
Specialized data platform and AI-agent skills increase domain bias, but core data engineering skills remain transferable.
Multiple explicit minimum years and many mandatory specialized data and AI platform technologies narrow candidate pool.
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Lead development and scaling of a data-intensive platform using Data Virtualization and Data Domains.
Drive creation and optimization of data processing, analytics solutions, and data pipelines leveraging tools like Starburst, Snowflake, and Spark.
Design and integrate AI Agents and applied AI workflows including MCP servers and RAG for enterprise data access and intelligent querying.
7+ years experience in Big Data or large-scale enterprise data engineering development.
5+ years experience implementing data-intensive solutions using agile methodologies.
Strong expertise in data engineering tools and technologies including Spark, Starburst/Trino, Snowflake, Hadoop, Oracle, SQL, and ETL tools.
Bachelor’s degree or equivalent experience in a relevant field.
Deep technical knowledge in building and optimizing scalable data platforms and pipelines in enterprise environments.
Experienced in AI integration with data engineering workflows, specifically with AI Agents, MCP servers, and RAG utilizing LLMs and vector databases.
Strong background in data modeling, warehousing, real-time data processing, and distributed systems relevant to large complex datasets.