Lead Technical Consultant - Level 3 (Data Platform Engineer)
Location: Remote (RTP, NC preferred)
Pay Rate: $95 - $115/hour (W2 only)
Important:
- No sponsorship is available for this role.
- We cannot work with third-party vendors or C2C candidates. Candidates must be able to work directly on Alphanumeric's W2.
About the Role
Alphanumeric is hiring a Lead Technical Consultant - Level 3 (Data Platform Engineer) to support our client of 20+ years, a global leader committed to improving lives through medical and pharmaceutical innovation.
This team operates as a full-stack data and platform engineering organization, spanning product and portfolio leadership, data engineering, infrastructure & DevOps, AI/ML platforms, and advanced analytics environments.
Their mission is to transform how scientific and enterprise data is leveraged by:
- Building next-generation, metadata-driven data platforms to reduce time spent on 'data mechanics'
- Delivering best-in-class AI/ML environments to accelerate predictive capabilities
- Engineering data at scale as a unified, real-time asset
- Automating end-to-end data pipelines across high-throughput domains (genomics, multi-omics, etc.)
- Enabling governance-by-design for internal and external data
- Creating domain-specific data products for computational scientists
- Supporting full traceability and data provenance
- Driving scalable, reusable, and efficient data engineering practices
Position Overview
As a Data Platform Engineer, you will take full ownership of delivering scalable, high-impact data platform solutions-from problem definition through deployment and ongoing operations.
You will act as a technical leader and mentor, setting the standard for engineering excellence while contributing hands-on to development. This role requires a strong balance of architecture, coding, platform engineering, and operational excellence.
Key Responsibilities
- Design, build, and maintain cloud-native data platform solutions
- Develop reusable frameworks and components to accelerate data product development
- Own end-to-end delivery of platform services, including monitoring and optimization
- Implement observability, performance tuning, and reliability improvements
- Define and track metrics to measure platform performance and impact
- Mentor junior engineers and provide technical leadership across projects
- Collaborate cross-functionally with data engineers, scientists, and platform teams