Note: The job is a remote job and is open to candidates in USA. Harnham is presenting an opportunity with a fast-growing digital consultancy that partners with leading enterprises on modern cloud, data, and AI solutions. The Staff Data Engineer will build scalable AWS-based data platforms and pipelines, support AI/ML initiatives, establish data engineering best practices, and provide technical leadership and mentorship.
Responsibilities
- Design, build, and optimize scalable cloud-based data platforms and pipelines
- Lead the architecture and implementation of modern data solutions on AWS
- Develop and maintain reliable ETL/ELT processes for large-scale datasets
- Partner with Data Science, AI/ML, Product, and Engineering teams to support advanced analytics and AI initiatives
- Establish best practices for data quality, governance, observability, and performance
- Drive technical strategy and provide mentorship to other data engineers
- Improve data accessibility and self-service capabilities across the organization
- Evaluate and implement emerging technologies to enhance platform capabilities
Skills
- 7+ years of experience in Data Engineering or related data platform roles
- Expert-level experience with AWS cloud services and data ecosystem technologies
- Experience supporting AI/ML initiatives from a Data Engineering perspective, including data preparation, feature pipelines, and model enablement
- Expertise with SQL and Python
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Experience with AWS Bedrock
- Experience with Amazon SageMaker
- Experience with modern data lake, lakehouse, or analytics architectures
- Experience leading technical initiatives in large-scale cloud environments
Company Overview
Company H1B Sponsorship