Lead Technical Consultant

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.

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.

Core Skills & Experience:

• Strong experience with Google Cloud Platform (GCP) including:
  • Cloud Run, GKE, Cloud Storage, Artifact Registry, IAM.
• Advanced Python development (automation, tooling, pipelines).
• Hands-on experience with Docker :
  • Multi-stage builds, image optimization, security best practices.
• Experience building and maintaining CI/CD pipelines for containerized environments.
• Strong background in debugging and observability :
  • Logging, monitoring, distributed tracing (Cloud Logging, Cloud Monitoring, etc.)
• Proven ability to diagnose and resolve performance issues in cloud-native systems.

Preferred / Bonus Skills:

• Experience with Nextflow (workflow orchestration).
• Exposure to bioinformatics / genomics / multi-omics / imaging pipelines.
• Experience with GCP Batch for large-scale workloads.

Education & Experience:

• Bachelor's degree with 8+ years of experience , or
• Master's degree with 5+ years of experience
  
  

Why Join?

• Work on cutting-edge data platforms in life sciences and healthcare.
• Contribute to real-world impact in biopharmaceutical development.
• Collaborate with top-tier engineering and scientific talent.
• Be part of a team driving innovation at scale.
  
  

Alphanumeric is a dynamic company born of a diverse mindset and held to a distinctly high standard. You may know us as a tech and communications firm established in 1979, but we also lead life science and healthcare organizations toward a more efficient future across the globe, bringing patients and providers together to build personalized relationships that fit their needs.But at our core, we are a family with a shared and passionate dedication to our customers. We treat our candidates as amazing (because they are!)Apply today to join our family and Make Your Mark!