Senior Software Engineer - Semantic Data Lake

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Skills you'll use

Who can apply

• 4–8 years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms.
• Strong proficiency in SQL and at least one general-purpose language such as Python or Scala.
• Demonstrated experience as an AI-native engineer—using tools like Claude, GitHub Copilot, Cursor, or similar as a regular part of your development workflow.
• AI-Native Architecture: You are passionate about the future of data intelligence and have hands-on experience with LLM-driven architectures. You are comfortable designing RAG systems, building agentic workflows (e.g., LangGraph, CrewAI), and working with vector/graph databases to manage context and ontology.
• Familiarity with modern AI engineering practices such as prompt design, Spec-Driven Development (SDD), and AI-assisted code review.
• Advanced Data Orchestration & Pipeline Reliability: You possess deep expertise in building and managing complex orchestration systems (specifically Airflow) and are obsessed with reliability. You know how to engineer "quality-first" pipelines using frameworks like Great Expectations to ensure data trust at scale.
• Infrastructure as Code (IaC) & Platform Engineering: You are fluent in the modern DevOps stack—including Terraform, Kubernetes, and CI/CD automation—allowing you to build self-healing, scalable infrastructure that minimizes operational toil.
• Enterprise Governance & Metadata Management: You have a proven track record of implementing automated governance, specifically utilizing DataHub or similar platforms to manage end-to-end lineage, cataloging, and RBAC policies that make security inherent to the data object.
• Observability & Incident Management: You understand that "the platform is the product." You bring experience building comprehensive observability frameworks (e.g., Grafana, xMatters integration) that move teams from reactive firefighting to proactive, automated alerting.
• Self-Service Mindset: You advocate for "developer autonomy" over manual intervention. You have experience building intuitive portals and developer tools that enable domain teams to build, manage, and consume trusted data products independently.

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