Technology Architect Python Big Data

About the Role

We are seeking a senior Technology Architect / Python Platform Engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark through a well-defined API contract. This is a platform-building role focused on creating consistent, secure, and scalable access to Spark-based data pipelines—not simply consuming existing tools.

You will develop production-grade APIs in Python, package them as reusable containerized services (Docker/Kubernetes), and operate them as platform capabilities. Strong hands-on experience with GCP, CI/CD automation (especially GitHub Actions), and solid software engineering practices around testing, versioning, and deployment are essential. The role also involves client coordination, delivery ownership, and managing offshore resources while collaborating with onsite teams.

Key Responsibilities

Lead delivery coordination and manage complex software application development & support projects

Design and build a containerized API control plane that securely governs access to Spark-based data pipelines

Develop production-grade Python APIs and platform services using modern design patterns

Drive CI/CD automation, testing, versioning, and deployment practices

Coordinate with clients, work closely with onsite team members, and manage offshore resources

Ensure observability, policy enforcement, metadata management, and scalable job execution

Must-Have Skills

Python (strong production experience)

PySpark

API development & Microservices

CI/CD (GitHub Actions preferred)

GCP

ETL

Experience building control planes / platform services

Containerization (Docker / Kubernetes)

Preferred Technical Background

FastAPI, ARQ, Kubernetes, Pytest

Design patterns: modular containerized services, asynchronous processing, job-based work queues, immutability & idempotency, metadata management, policy enforcement, semantic modeling, observability/telemetry

Functional and behavioral testing

Requirements

10+ years of IT experience

Proven ability to interact and coordinate with clients

Experience managing offshore teams and collaborating with onsite resources

Strong software engineering fundamentals (testing, versioning, deployment)

No certifications required

Additional Details

Local candidates preferred (Charlotte, NC area)

Hybrid onsite arrangement

Visa-independent candidates only

If you are a hands-on Python platform engineer with deep experience building APIs and control planes around Spark/GCP, and you thrive in a client-facing architect role with delivery ownership, we’d like to hear from you.

Flexible work from home options available.

At Timebox Pro , we specialize in delivering expert-led, precision-driven solutions that help organizations scale with confidence. Whether you’re navigating transformation, accelerating delivery, or optimizing execution, our team brings the clarity, agility, and momentum to move business forward — one timebox at a time.