Jobgether
Architect Data Engineer
TLDR
Lead end-to-end data platform architecture for Agentic AI, unifying structured, unstructured, and graph data to enable real-time AI workloads and enterprise-scale workflows.
Accountabilities:
- Define and lead the end-to-end architecture for a modern data platform supporting Agentic AI, integrating structured, unstructured, and graph-based data systems.
- Design multi-tenant schemas and knowledge graph ontologies to enable advanced reasoning, contextual understanding, and cross-domain data retrieval for AI agents.
- Oversee performance, reliability, and security of large-scale data systems including Snowflake and Kinetica, ensuring high availability for mission-critical workloads.
- Serve as the primary technical advisor for clients, leading discovery workshops and aligning architectural decisions with business and AI strategy goals.
- Establish performance benchmarks for data latency, retrieval accuracy, and system scalability to support real-time agentic execution.
- Design and optimize advanced ETL/ELT pipelines, including streaming, batch, and CDC-based data ingestion strategies.
- Define and enforce database governance, including indexing, partitioning, resource optimization, and cloud-native scaling strategies.
- Collaborate on the design of API-first and tool-enabled data layers for integration with AI agents and LLM-based systems.
- 10+ years of experience in data engineering, data architecture, or platform engineering roles within enterprise or AI-driven environments.
- Strong expertise in architecting hybrid data ecosystems using platforms such as Snowflake, Kinetica, NoSQL, and graph databases.
- Deep knowledge of knowledge graph design, including RDF or property graph modeling for enterprise-scale systems.
- Proven experience designing and optimizing ETL/ELT pipelines, including streaming, batch, and CDC architectures.
- Strong understanding of database internals, including indexing strategies, partitioning, scaling, and performance tuning in cloud environments.
- Experience building data platforms that support real-time analytics, AI/ML, or agent-based systems.
- Client-facing experience as a technical lead, including running workshops, gathering requirements, and defining architectural roadmaps.
- Familiarity with semantic layers (e.g., dbt Semantic Layer, Cube) is a strong plus.
- Knowledge of data security principles such as RBAC and row-level security in distributed systems.
- Strong communication and stakeholder management skills with a consultative mindset.
- Competitive compensation aligned with experience and market standards.
- Remote work flexibility within Canada or the US East region.
- Opportunity to work on cutting-edge Agentic AI and enterprise data platform architectures.
- Exposure to Fortune 500 clients and large-scale AI transformation initiatives.
- Access to advanced cloud, AI, and data technologies in a research-driven environment.
- Strong culture of innovation, learning, and continuous technical upskilling.
- Collaborative environment working alongside highly skilled AI and data engineering teams.
- Opportunity to influence next-generation data architectures powering real-world AI systems.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Learning Budget
Strong culture of innovation, learning, and continuous technical upskilling.
Remote-Friendly
Remote work flexibility within Canada or the US East region.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Data Engineer