Data Engineering Assoc Principal Engineer
Core
Lead a team of data engineers to build, scale, and operate data pipelines and platforms on public cloud (Azure/AWS) for revenue management, supply chain, manufacturing, and logistics.
Role type
Senior IC data engineering lead (technical lead + team management)
Builds
Data pipelines, data lake infrastructure, and unified data taxonomies for analytics, ML, and product development
Domain
Retail / Supply Chain / Cloud Data Engineering
Deliverable
production ML models
Required skills
Data engineering, Systems architecture, SQL optimization, Python, PySpark, Scala, Cloud data engineering (Azure/AWS), Data modeling, ETL/ELT pipelines, Distributed systems, MPP databases (Databricks/Redshift/Synapse/Snowflake), Kubernetes, CI/CD, DataOps
Preferred skills
Azure Certification, LLM API integration, Agentic AI workflows, Multi-cloud/on-prem integration, Retail/Supply chain domain experience, Metadata management, PowerBI
Technologies
Azure, AWS, Python, PySpark, Scala, Databricks, Redshift, Synapse, Snowflake, Kubernetes, Github, Azure Data Factory, Azure Databricks, Azure Machine Learning
Responsibilities
Lead and mentor a team of data engineers; Design and scale data pipelines from internal/external sources; Build automation and monitoring frameworks for pipeline quality; Collaborate with data science and product teams to drive solutioning; Evolve architectural capabilities of the data platform; Define and manage SLAs for data products; Research and prototype new approaches; Create and audit reusable packages or libraries
Seniority
Senior, hands-on IC with team leadership
