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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.

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.

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Apply for Lead Technical Consultant at Alphanumeric Systems Inc.