Tech Lead - Data Engineering at well-funded property technology SaaS

As the primary architect and senior individual contributor, you will own the end-to-end technical direction of our data ecosystem. You'll design durable, distributed systems that handle high-scale transactional data to power ML and AI-driven solutions. This role is pivotal in defining data contracts and ingestion strategies that enable real-time operational optimization across the platform.

Well-funded property technology SaaS platform

• Design and build fault-tolerant, high-scale data pipelines and distributed architectures for ingestion, storage, and exposure layers.
• Lead the definition of data models, schemas, and governance frameworks to ensure high data quality and reliability at scale.
• Collaborate with product teams to architect and deploy production-grade data foundations for machine learning and inference pipelines.

• Senior engineering professional with a software-first mindset and deep production experience in Python and complex distributed systems.
• Proven track record with modern cloud data warehouses like Snowflake and orchestration tools such as dbt or Airflow.
• Practical experience building and maintaining ML systems, including feature stores, model inference, and handling multimodal data types.

• Significant technical ownership as the lead architect for a modern data platform powering real-time global operations.
• Join a well-funded scale-up backed by top-tier global venture capital firms during a period of high-growth product evolution.
• Direct impact on AI and ML strategy by building the foundational data infrastructure for advanced automated features.