Forward Deployed Engineer

Excerpt from the original posting

About Binagora 

We are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with bold organizations to deliver high-quality, custom solutions that achieve tangible results. Our expertise spans various sectors, including Media & Entertainment, Solar Energy, Healthcare, Marketing, Audit & Compliance, Diversity & Inclusion, among many others. From initial strategy to final delivery, we go above and beyond, infusing creativity and aligning with business objectives to develop innovative products that challenge conventions and propel businesses forward.

Our Client 
Our client is an advanced influence measurement platform that sits on top of first-party customer data to quantify peer-to-peer influence and behavior drivers. By running sophisticated network-graph models and data pipelines inside client environments without using social media data, they unlock previously invisible revenue channels and influence metrics for high-growth brands and enterprises.

Responsibilities
As a Forward Deployed Engineer, you will:
- Deploy, configure, and execute data pipelines directly within client environments, performing precise field-level data mapping between customer schemas and internal platform data models.
- Lead the technical translation and migration of existing backend data pipelines, workloads, and cloud infrastructure from Microsoft Azure over to Google Cloud Platform (GCP).
- Design, build, and optimize Python-native data engineering pipelines, leveraging BigQuery as the primary high-performance datastore.
- Establish and manage cloud infrastructure and orchestration workflows using tools such as Cloud Run, Apache Airflow, or similar native GCP services.
- Configure Vertex AI for model registry and ML platforms, and utilize Spark/PySpark to optimize computationally intensive tasks such as network-graph calculations.
- Leverage AI-assisted developer tooling (e.g., GitHub Copilot) for efficient code generation, review, and overall engineering productivity.

Must-Haves 
- Core Data Engineering Skills: 4+ years of hands-on proficiency in Python and extensive experience using Google BigQuery as a core input/output storage engine.
- Orchestration & Infrastructure: Experience setting up cloud infrastructure and orchestrating data workflows (Airflow, Cloud Run, or equivalent).
- Client-Facing / Forward-Deployed Mindset: Experience adapting standard engineering solutions to diverse, client-sp…

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