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jaydhub

Everything we do, we believe in creating companies where people are highly engaged. Everyday.

Principal Data Engineer, Backend

Backend EngineerSoftware EngineerFull TimeRemoteLeadTeam 11-50Since 2022H1B No SponsorCompany SiteLinkedIn

Location

Portugal

Posted

4 days ago

Salary

€77K - €84K / year

Seniority

Lead

Job Description

Principal Data Engineer, Backend

jaydhub

• Own backend and data architecture across marketing data pipelines, connector systems, platform APIs, agent/tool runtimes, and downstream product surfaces, defining durable domain boundaries and data contracts between warehouse outputs, platform APIs, agent tools, and user-facing workflows. • Turn ambiguous platform needs into incremental technical plans that balance reliability, security, tenant isolation, developer experience, and long-term maintainability. • Lead the evolution of data pipelines following the medallion architecture, driving data quality, schema enforcement, lineage, and curated outputs for analytics and product use cases. • Harden ingestion from external marketing platforms and related APIs, including connector and reconciliation patterns. • Architect backend services across API paths and cloud infrastructure, shaping how platform capabilities are exposed through stable contracts, streaming workflows, and tool permissions. • Implement secure authentication, authorization, rate limiting, and multi-tenant access controls across services. • Write high-quality, production-ready code and integrate with external APIs, cloud services, and internal microservices. • Build and maintain deployment pipelines and infrastructure environments, implementing tracing, structured logging, metrics, and alerting to ensure reliability, latency, and operational standards. • Mentor engineers, contribute to internal libraries, backend frameworks, and drive consistency across the platform.

Job Requirements

  • At least ten years of experience in backend, data platform, or distributed systems, including ownership across multiple services or teams.
  • Expertise in Python, API design, service boundaries, async and concurrent systems, SQL, and modern testing practices.
  • Proficiency with Databricks, PySpark, Lakehouse patterns, and medallion-style data architecture, or equivalent large-scale data pipeline experience.
  • Strong AWS serverless experience, including Lambda, API Gateway, S3, DynamoDB, 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, CLI/API/MCP contracts, schema evolution patterns, and consumer-facing data models.
  • Proficiency with SQL and NoSQL databases such as PostgreSQL, DynamoDB, Redis, or MongoDB.
  • Strong CI/CD experience and deep knowledge of observability practices including logs, metrics, and traces.
  • Proven technical leadership through mentoring, architecture decisions, code reviews, trade-off communication, and engineering standards, without relying on direct authority.
  • Fluent in English, both verbal and written.

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