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Remote role, popular data-engineer title with broad AI-oriented skillset increases competition.
Technical data-engineering and vector DB expertise transferable across industries but requires AI pipeline experience.
Explicit 7+ years, core data stack and vector DB expertise make shortlisting highly restrictive.
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Lead design and implementation of scalable data pipelines and infrastructure supporting AI-driven property management platform.
Define data architecture, tooling, engineering standards, and lead the formation of the data team as the first senior data hire.
Collaborate with AI engineers, backend teams, and leadership to ensure reliable, high-performance processing of operational and AI data workloads.
7+ years professional experience predominantly in data engineering roles.
Strong skills in building data pipelines, distributed systems, and experience with relational (PostgreSQL preferred) and NoSQL databases.
Proficiency in Python programming and experience with vector databases for AI applications.
Demonstrated ability to make and justify architectural decisions for scalable backend and data storage systems.
Experienced senior-level data engineer comfortable defining technical strategy and team standards from scratch.
Background in building and optimizing large-scale data processing systems, particularly involving real-time and batch pipelines for AI and operational use cases.
Able to work closely with multiple engineering and leadership stakeholders to translate product needs into data infrastructure solutions.