[Remote] Consulting Data Engineer - Remote
Note: The job is a remote job and is open to candidates in USA. Harnham is a Professional Services organization seeking a Consulting Data Engineer / Solutions Architect. In this role, you will partner with customers to address complex data and analytics challenges using a modern cloud-based data platform, delivering impactful technical projects and providing architectural guidance.
Responsibilities
- Deliver impactful customer technical projects, including:
- Designing and building reference architectures
- Creating technical guides and implementation documentation
- Productionalizing customer use cases
- Partner with engagement managers to scope professional services work based on customer objectives and technical requirements
- Guide strategic customers through large-scale, transformational data initiatives, including third-party migrations and end-to-end solution design, build, and deployment
- Provide architectural and design guidance to help customers successfully evaluate, adopt, and scale a modern data platform
- Lead or bootstrap customer projects to ensure successful technical outcomes
- Provide escalated technical support for customer operational issues during engagements
- Collaborate closely with internal technical resources (engineering, architecture, project management, and support teams) and customer stakeholders to ensure successful delivery of all technical components
- Share implementation feedback with product and support teams and help drive rapid resolution of engagement-specific issues
Skills
- 6+ years of experience in data engineering, data platforms, or analytics
- Strong coding experience in Python and/or Scala
- Working knowledge of two or more major cloud environments (e.g., AWS, Azure, GCP), with deep expertise in at least one
- Extensive experience with distributed data processing and large-scale compute frameworks
- Understanding of runtime internals and performance optimization in distributed systems
- Familiarity with CI/CD practices for production deployments
- Working knowledge of MLOps concepts and workflows
- Proven experience designing and deploying performant, end-to-end data architectures
- Strong technical project delivery experience, including managing scope and timelines
- Excellent documentation, whiteboarding, and technical communication skills
- Experience working directly with customers, including managing expectations and resolving conflicts
Benefits
- Utilization: 40 hours / week
- Term: 6 months, with strong potential for extensions
- Location: Remote (time zone flexibility heavily preferred)
Company Overview
Company H1B Sponsorship