(Senior) Data Engineering Lead
Core
Lead the design and delivery of scalable, reliable, and observable data platforms and pipelines to power products, insights, and AI capabilities for the retail crime prevention industry.
Role type
Senior IC Data Engineering Lead (Technical Leadership & Delivery)
Builds
Scalable data platforms, pipelines, consumption models, and data infrastructure on Azure, GCP, and Snowflake.
Domain
Retail crime prevention / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud data platform architecture, Data orchestration (Dagster, Airflow), Data transformation (dbt), Data warehousing (Snowflake, BigQuery, Cloud Spanner), Infrastructure as Code (Terraform), CI/CD, Containerization (Kubernetes), Data governance, Technical leadership, Team coaching, Hiring
Preferred skills
AI tooling integration, Observability engineering, Strategic data planning
Technologies
Dagster, Airflow, dbt, Apache Iceberg, Cloud Spanner, BigQuery, Azure, Google Cloud Platform, Snowflake, Terraform, Kubernetes
Responsibilities
Lead design and delivery of scalable data platforms and pipelines; Partner with software engineering to design data models for operational and analytical consumption; Own and evolve data infrastructure across Azure, GCP, and Snowflake; Drive continuous improvements in data quality, reliability, and observability; Review high-risk technical designs and production changes; Build and support a high-performing team of data engineers through coaching, feedback, and hiring.
Seniority
Senior, hands-on IC with leadership responsibilities