Principal Data & AI Architect

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jaydhub

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

jaydhub is a Portugal-based digital transformation and innovation studio that builds and accelerates digital hubs, drives cultural transformation, and helps companies adopt the right digital technologies and new ways of working. The company emphasizes people-centered change, combining technology, creativity, and an innovation methodology to boost and scale innovation, improve company behaviors through rituals and tools, and deliver value to customers.

📋 Description

• Set the technical direction for OneSuite data products and their integration into the Performics platform • Write code and design cross-repository architecture for reliable, scalable systems • Lead high-stakes technical decisions and establish engineering standards • Build backend and data foundations for AI-assisted analyst workflows using agent and tool runtimes • Own architecture across marketing data pipelines, connector systems, platform APIs, and agent/tool runtimes • Define domain boundaries and data contracts between warehouse outputs, APIs, agent tools, and user-facing workflows • Create incremental technical plans balancing reliability, security, tenant isolation, developer experience, and maintainability • Evolve medallion-architecture data pipelines, including data quality, schema enforcement, lineage, and curated outputs • Harden ingestion from external marketing platforms and APIs • Architect backend services, cloud infrastructure, stable contracts, streaming workflows, and tool permissions • Design agent and tool-runtime systems with secure multi-tenant access and durable boundaries • Implement authentication, authorization, rate limiting, and multi-tenant access controls • Integrate external APIs, cloud services, internal microservices, and agent/tool runtimes • Build and maintain deployment pipelines and infrastructure environments • Implement tracing, structured logging, metrics, and alerting • Mentor engineers, contribute to internal libraries and backend frameworks, and drive platform consistency

🎯 Requirements

• At least ten years of experience in backend, data platform, or distributed systems • At least two years of hands-on production experience building with LLMs and agent frameworks • Experience integrating Claude Agent SDK, MCP-style tooling, or similar agent/tool runtimes into live systems • Experience architecting agent and tool-runtime systems with tool permissioning and secure multi-tenant access • Expertise in Python, API design, service boundaries, async and concurrent systems, and modern testing • Proficiency with Databricks, PySpark, Lakehouse patterns, and medallion-style data architecture, or equivalent large-scale data pipeline experience • Strong AWS serverless experience with Lambda, API Gateway, S3, IAM, and CloudFormation/SAM or equivalent infrastructure-as-code tooling • Deep understanding of multi-tenant SaaS design, authentication and authorization, tenant-scoped data access, secrets management, and operational security • Experience designing stable data contracts, schema evolution patterns, and consumer-facing data models • Proficiency with SQL and NoSQL databases such as PostgreSQL, Redis, or MongoDB • Strong CI/CD experience and knowledge of observability practices including logs, metrics, and traces • Technical leadership through mentoring, architecture decisions, code reviews, communication, and engineering standards • Fluent in English, both verbal and written • Familiarity with Fivetran, custom connector development, or third-party data ingestion operations is advantageous • Knowledge of Delta Lake, Unity Catalog, data governance, data lineage, Lakehouse performance optimization, streaming or queuing systems, and marketing or advertising APIs would be beneficial

🏖️ Benefits

• Diversity and inclusion commitment • Continuous learning and knowledge sharing • Mentoring and professional growth opportunities • Remote work arrangement