Technology Architect Python Big Data

Timebox Pro; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Timebox Pro is seeking a hands-on Senior Technology Architect / Python Platform Engineer to design a containerized API layer that governs Spark‑based data pipelines, delivered as reusable platform services. You will build production‑grade Python APIs and platform services using Docker/Kubernetes in a GCP environment, with strong CI/CD, testing, and observability practices.

The role involves client coordination and offshore/onshore collaboration in a hybrid Charlotte setting.

Qualifications

• 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.

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.

Skills

Python

PySpark

API development

Microservices

CI/CD

GitHub Actions

GCP

ETL

Containerization

Tools

FastAPI

ARQ

Kubernetes

Pytest

Job description

Visa-independent candidates only

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.