Principal Backend Engineer

Overview

We are seeking a Principal Backend Engineer (Individual Contributor) to set the technical direction for One Suite data products and their integration into the broader platform. This is a hands‑on principal role: you will write production‑grade Python, design cross‑repo architecture, lead high‑risk technical decisions, and raise the standards other engineers use to build reliable systems.

You will help build the backend and data foundation behind AI‑assisted analyst workflows, including agents built with the Claude Agent SDK. That means turning complex marketing data into dependable services, tools, and agent experiences that can answer questions, surface issues, and support campaign decisions securely across clients.

• Own backend and data architecture across marketing data pipelines, connector systems, platform APIs, agent/tool runtimes, product CLIs, and downstream product surfaces.
• Define durable domain boundaries and data contracts between warehouse outputs, operational sync targets, 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 Databricks medallion pipelines, including ingestion, normalization, and curated outputs for analytics and product use cases.
• Guide data quality, schema enforcement, lineage, table documentation, and lakehouse‑to‑operational‑store sync for consumer‑facing data.
• Harden ingestion from external marketing platforms and related APIs, including connector and reconciliation patterns.

• Architect Python backend services across AWS serverless and API paths, storage, authentication, and tenant‑scoped access patterns.
• Shape how platform capabilities are exposed through One Suite, including streaming workflows, tool permissions, MCP integrations, and stable CLI/API/MCP contracts.
• Create reusable patterns that can extend across current and future marketing intelligence domains.

• Write high‑quality production code in Python and SQL, and stay close enough to implementation details to unblock difficult design and debugging problems.
• Set standards for code review, testing, CI/CD, local development, deployment safety, observability, and operational readiness.
• Design for real failure modes across external marketing APIs, third‑party ingestion tools, data platforms, AWS services, tenant configuration, and agent/tool execution paths.
• Mentor senior engineers through architecture review, pairing, practical standards, and clear written guidance rather than formal people management.

• 10+ years of backend, data platform, or distributed systems engineering experience, including principal‑level ownership across multiple services or teams.
• Expertise in Python backend engineering, API design, service boundaries, async/concurrent systems, SQL, and modern testing practices.
• Hands‑on experience 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, Dynamo
  
  DB, IAM, Cloud Formation/SAM or equivalent infrastructure‑as‑code tooling.
• Deep understanding of multi‑tenant SaaS design, authentication/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.
• Proven technical leadership through mentoring, architecture decisions, code review, trade‑off communication, and engineering standards without relying on direct authority.

• Experience with marketing, advertising, or platform APIs and similar ecosystems.
• Experience with Fivetran, custom connector development, connector reconciliation, or third‑party data ingestion operations.
• Experience with Delta Lake, Unity Catalog, data governance, data lineage, and lakehouse performance optimization.
• Familiarity…