Senior Data Engineer - AI Platforms

Jobgether

15h • Remote

About The Position

This role offers the opportunity to lead the development of a next-generation data layer designed for Agentic AI, shaping the architecture that powers advanced AI agents across structured, unstructured, and relational data. The Senior Data Engineer will define high-performance schemas, optimize hybrid database environments, and act as a strategic technical liaison with clients. This position combines deep technical expertise with client-facing responsibilities, enabling both innovation in data engineering and alignment with business objectives. You will oversee data governance, performance, and scalability while collaborating closely with cross-functional teams. The role provides visibility into high-impact AI projects and the chance to drive cutting-edge data solutions in a rapidly growing, AI-focused environment. Success in this role directly contributes to the reliability, efficiency, and innovation of enterprise AI platforms.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Proven experience designing and managing hybrid database environments (Snowflake, Kinetica, NoSQL).
• Expertise in knowledge graphs, property graph/RDF schemas, and semantic modeling for AI applications.
• Strong understanding of ETL/ELT patterns, data orchestration (streaming, CDC, batch), and database internals (partitioning, indexing, scaling).
• Experience building API-first data layers and designing secure, multi-tenant architectures.
• Excellent problem-solving, analytical, and communication skills, with experience collaborating directly with clients.
• Ability to work in a fast-paced, innovative environment and manage complex technical projects.

Nice To Haves

• Experience in AI/ML platforms and familiarity with agentic or LLM-based workflows preferred.

Responsibilities

• Design and implement end-to-end data architecture integrating structured, unstructured, and relational (Graph) data for AI applications.
• Define multi-tenant schemas and knowledge graph ontologies to enable AI agents to perform complex reasoning and cross-domain queries.
• Oversee database administration, performance optimization, and security for hybrid environments including Snowflake, Kinetica, and NoSQL databases.
• Act as a technical liaison for clients, leading discovery workshops, managing expectations, and aligning architectural roadmaps with business objectives.
• Establish benchmarks for data latency and retrieval accuracy to ensure AI systems meet real-time operational requirements.
• Collaborate with engineering teams to integrate data pipelines, ETL/ELT processes, and AI orchestration frameworks.
• Promote best practices in schema design, database governance, and AI-focused data layer implementation.

Benefits

• Competitive salary with performance-based incentives.
• Comprehensive medical, dental, and vision coverage.
• 401(k) retirement plan and equity participation options.
• Flexible remote work environment and supportive, innovative culture.
• Opportunities for professional growth and exposure to cutting-edge AI, ML, and cloud technologies.
• Work on high-visibility projects impacting Fortune 500 clients.
• Continuous learning through advanced AI research and technology initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level