wrapbook - Senior Data Platform Engineer II

• Design and build an integrated data platform — unify our existing tools and pipelines into a cohesive, scalable architecture that serves the entire organization. • Own data pipelines and SLAs end to end, ensuring data moves reliably between systems with clear expectations and well-defined metrics. • Define and manage data contracts that prevent upstream changes from breaking downstream analytics, establishing the standards the team builds on. • Shape the data strategy and platform roadmap — research new technologies, evaluate trade-offs, and introduce tools and frameworks as the platform evolves. • Stand up observability across the platform — robust monitoring and telemetry so teams can understand system health and troubleshoot quickly. • Partner with Product, Compliance, and Security on data governance, balancing user needs with regulatory requirements. • Participate in an on-call rotation to support production data systems. • WHAT YOU'LL HAVE • A track record of building and operating data platforms in fast-growing or early-stage environments — you've done this before and know what good looks like. • Strong coding fluency in Python (preferred) and at least one of Java or Scala, with deep knowledge of relational databases (especially PostgreSQL) and hands-on experience with tools like Dagster, Airbyte, Airflow, and dbt. • Infrastructure automation expertise — experience with Terraform, Ansible, or similar tooling, and comfort working on AWS or other major cloud platforms. • The ability to design scalable data models and system architectures that balance performance, cost, and governance. • A self-directed, solution-oriented approach — you're comfortable with ambiguity, propose solutions with clear trade-offs, and drive execution with minimal oversight. • A collaborative mindset — proven experience partnering across analytics, product engineering, compliance, and security to align architecture with business objectives. • An AI-centric workflow — you embrace AI coding assistants (such as Claude Code) as essential tools, using them to streamline repetitive work, orchestrate multi-stage tasks, and connect systems and services. • Excellent communication skills and availability to collaborate effectively with a team.