Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Job Description: Technical Architect (Data Engineering + AI)
We are looking for a 12+ years experienced Technical Architect to lead the architecture and technical delivery of an enterprise-scale Data and AI Platform. The role involves designing scalable, governed, and AI-ready solutions by integrating modern data engineering, semantic technologies, cloud-native architectures, and Generative AI capabilities. The architect will work closely with customer stakeholders and engineering teams to define the solution architecture, establish technical best practices, and drive the successful implementation of the platform.
Key Responsibilities
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Lead the technical design and implementation of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technology standards
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Collaborate with customer stakeholders to understand business requirements and convert them into scalable technical solutions
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Provide technical leadership throughout the project lifecycle, including solution design, estimation, planning, implementation, and deployment
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Define architecture principles, technical standards, and best practices to ensure scalable, secure, and maintainable solutions
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Architect and design highly scalable Knowledge Graphs, Graph RAG solutions, and semantic middleware layers to expose enterprise data as governed Data Products
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Design Natural Language Interfaces, GraphQL, and Streaming Interfaces
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Review solution designs, code, and technical deliverables to ensure quality, performance, and adherence to architectural standards
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Mentor and guide development teams by resolving technical challenges and ensuring best practices
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Evaluate emerging technologies, and tools to recommend the most appropriate solutions
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Work closely with cross-functional teams, including Data Engineers, AI Engineers, Cloud Engineers, DevOps, and QA to ensure successful delivery
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Identify technical risks, recommend mitigation strategies, and proactively address implementation challenges
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Support customer workshops, technical discussions, architecture reviews, and solution demonstrations
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Drive continuous improvement by incorporating lessons learned, optimizing solution design, and promoting reusable architecture patterns
Required Skills
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Strong experience in enterprise solution architecture with modern Data Engineering and AI/GenAI platforms
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Hands-on experience with AWS cloud services and Snowflake
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Experience in designing data platforms, ETL/ELT pipelines, data lakes, data warehouses, and data governance solutions
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Strong understanding of semantic technologies, metadata management, knowledge graphs, ontologies, and data cataloguing concepts
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Experience with Generative AI, LLMs, Graph RAG, Retrieval-Augmented Generation (RAG), vector databases, semantic search, Agentic AI, and Natural Language Interface concepts
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Experience with REST APIs, GraphQL, Streaming Interfaces, microservices, event-driven architecture, and containerized deployments
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Familiarity with Collibra, DBT, OpenSearch/Elasticsearch, MQ, and graph databases and vector databases
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Strong understanding of security, identity management, RBAC/ABAC, and enterprise integration patterns
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Excellent communication, stakeholder management, problem-solving, and technical mentoring skills
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
