Principal Data & AI Architect

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Establish the technical vision for OneSuite data products and their integration within the Performics platform.

• Develop code and design architecture across repositories to ensure reliable and scalable systems.

• Lead critical technical decisions and set engineering standards.

• Construct backend and data foundations to enable AI-assisted analyst workflows utilizing agent and tool runtimes.

• Take ownership of architecture related to marketing data pipelines, connector systems, platform APIs, and agent/tool runtimes.

• Define the boundaries of domains and data contracts between warehouse outputs, APIs, agent tools, and user-facing workflows.

• Formulate incremental technical plans that balance reliability, security, tenant isolation, developer experience, and maintainability.

• Advance medallion-architecture data pipelines, focusing on data quality, schema enforcement, lineage, and curated outputs.

• Strengthen ingestion processes from external marketing platforms and APIs.

• Design backend services, cloud infrastructure, stable contracts, streaming workflows, and tool permissions.

• Create agent and tool-runtime systems that ensure secure multi-tenant access and robust boundaries.

• Implement authentication, authorization, rate limiting, and controls for multi-tenant access.

• Integrate external APIs, cloud services, internal microservices, and agent/tool runtimes.

• Build and sustain deployment pipelines and infrastructure environments.

• Establish tracing, structured logging, metrics, and alerting mechanisms.

• Mentor engineers, contribute to internal libraries and backend frameworks, and promote platform consistency.

⛳️ Requirements

• A minimum of ten years of experience in backend, data platform, or distributed systems.

• At least two years of hands-on production experience with LLMs and agent frameworks.

• Experience in integrating Claude Agent SDK, MCP-style tooling, or comparable agent/tool runtimes into operational systems.

• Background in architecting agent and tool-runtime systems with tool permissioning and secure multi-tenant access.

• Proficiency in Python, API design, service boundaries, asynchronous and concurrent systems, and modern testing practices.

• Familiarity with Databricks, PySpark, Lakehouse patterns, and medallion-style data architecture, or similar large-scale data pipeline experience.

• Extensive AWS serverless experience with Lambda, API Gateway, S3, IAM, and CloudFormation/SAM or equivalent infrastructure-as-code tools.

• Strong understanding of multi-tenant SaaS design, authentication and authorization, tenant-scoped data access, secrets management, and operational security.

• Experience in designing stable data contracts, schema evolution patterns, and consumer-facing data models.

• Proficient with SQL and NoSQL databases, such as PostgreSQL, Redis, or MongoDB.

• Solid CI/CD experience and familiarity with observability practices, including logs, metrics, and traces.

• Technical leadership demonstrated through mentoring, architecture decisions, code reviews, communication, and setting engineering standards.

• Fluent in English, both spoken and written.

• Familiarity with Fivetran, custom connector development, or third-party data ingestion processes is a plus.

• Knowledge of Delta Lake, Unity Catalog, data governance, data lineage, Lakehouse performance optimization, streaming or queuing systems, and marketing or advertising APIs would be advantageous.

🏝️ Benefits

• Commitment to diversity and inclusion.

• Opportunities for continuous learning and knowledge sharing.

• Mentoring and professional growth prospects.

• Options for remote work arrangements.