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Tier-1 brand, metro location, mid-level generalist title and broad skills create high competition.
Specialized vector-data and cloud data-platform experience is transferable but favors data-engineering backgrounds.
Explicit 3+ years plus required Snowflake/Databricks, Go/Python, and vector-database expertise make screening strict.
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Lead end-to-end design, implementation, and optimization of data pipelines for vectorized data storage and retrieval on Snowflake and Databricks platforms.
Mentor and lead a software engineering team, collaborating with cross-functional teams to define data architecture and support AI/ML workloads.
Ensure performance, cost-efficiency, and compliance of scalable data delivery systems handling large-scale datasets with modern cloud technologies.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent education.
Minimum 3 years of experience in system design for large-scale, distributed systems.
Strong proficiency in Python, C#, AWS, Snowflake, Databricks and/or Go programming languages.
Hands-on experience with vector data storage, vector similarity search, modern cloud data platforms (Snowflake, Databricks, Redshift), and cloud-native application development.
Experienced with building and optimizing data delivery systems for vectorized data, focusing on high-performance and scalable cloud architectures.
Proven capability to lead and mentor engineers and make architecture decisions in data engineering contexts.
Demonstrates practical experience integrating data platforms with AI/ML and LLM applications within a collaborative, cross-functional team environment.