Aws Data Engineer

Job description

AWS & Databricks AWS + Databricks Ecosystem | Data Engineering Leadership | ROLE OVERVIEW We are looking for a Lead Data Engineer to own the design and delivery of modern data platforms built on AWS and Databricks. This role combines deep hands-on engineering with team leadership, covering data ingestion, transformation, and warehousing across structured and unstructured sources. KEY RESPONSIBILITIES • Architect and deliver end-to-end data engineering solutions on AWS and Databricks, spanning ingestion, transformation, and warehousing layers. • Design scalable pipelines for structured and unstructured data, balancing reliability, performance, and cost efficiency. • Lead and mentor a team of data engineers, overseeing sprint planning, code quality, and technical delivery. • Partner with architects and business stakeholders to translate requirements into robust, production-ready designs. • Establish and maintain standards for data quality, governance, and platform scalability. WHAT WE'RE LOOKING FOR MUST-HAVE SKILLS AWS Services Hands-on expertise across core AWS services spanning compute, storage, orchestration, and security in production environments. Databricks Platform — Deep proficiency in Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration at scale. Data Engineering Lifecycle — Proven ability to design and operate ingestion, transformation, and warehousing pipelines across structured and unstructured data. Team Leadership — Experience leading and mentoring data engineering teams, managing delivery timelines, and driving technical quality. Manufacturing Industry Knowledge — Familiarity with manufacturing industry data landscapes, processes, and common use cases. Data Modelling — Understanding of data modelling principles, including dimensional and canonical modelling approaches.