Platform Engineer

Platform Engineer (Python, Prefect, AWS, Snowflake)

Overview

We are looking for an experienced, hands-on Platform Engineer to help design, build and productionize a workflow orchestration platform

that underpins our marketing operations.

This role is focused on building reliable, scalable software rather than providing architectural advice. You will work alongside data

engineers, frontend developers and cloud engineers to deliver a production-grade orchestration engine that coordinates campaign

execution across multiple systems.

Our platform is built using Python, Prefect, AWS and Snowflake, integrating with custom frontend applications, middleware services and

internal APIs. We are looking for someone who enjoys solving complex engineering problems, building robust systems and taking

ownership of production environments. What You'll Be Working On

You'll be helping to build an orchestration platform responsible for:

Executing and monitoring complex business workflows

Orchestrating data movement between Snowflake and downstream systems

Integrating with custom frontend applications, middleware, and internal APIs

Managing scheduled and event-driven workloads

Supporting multiple deployment environments (Development, Test and Production)

Providing operational visibility into workflow execution, failures, and performance

Ensuring workflows are reliable, repeatable, and recoverable

This is an opportunity to build a platform rather than simply maintain one. Responsibilities

As a Senior Platform Engineer, You Will

Design, develop and maintain workflow orchestration using Python and Prefect

Build reliable, scalable and observable data workflows

Integrate with Snowflake, REST APIs, middleware, and internal applications

Design deployment pipelines and release processes across multiple environments

Implement monitoring, logging, and alerting for production workloads

Design retry strategies, recovery mechanisms, and rerun processes for failed workflows

Implement secure configuration, authentication, and secrets management

Work closely with Data Engineers, Frontend Developers, and Cloud Engineers to deliver end-to-end solutions

Produce operational documentation, deployment guides, and runbooks

Support production releases and troubleshoot issues when required

Contribute to engineering standards, code quality and platform best practices Technical Environment

Our Current Technology Stack Includes

Python

Prefect

AWS

Snowflake

SQL

Git

CI/CD pipelines

REST APIs Marketing Ops Transformation | External Resource JD Package Cloud monitoring and logging tools

Essential Skills & Experience

We're looking for someone who has:

Strong commercial experience developing applications in Python

Experience building and supporting production workflow orchestration platforms

Hands-on experience with Prefect or a comparable orchestration framework

Infrastructure as Code (Terraform is preferable)

Strong SQL skills and experience working with Snowflake or another modern cloud data warehouse

Experience deploying and operating applications in AWS

Experience building and maintaining CI/CD pipelines

Strong understanding of monitoring, logging and observability

Experience troubleshooting production systems and data pipelines

Experience integrating applications through APIs and distributed services

Strong software engineering practices, including testing, version control and code reviews

A practical approach to security, including secrets management, least-privilege access and environment separation Desirable Experience

It Would Be Advantageous If You Have Experience With

dbt or modern data transformation frameworks

Snowpark

Docker and containerized deployments

Kubernetes

Event-driven architectures

Marketing technology, campaign management or customer data platforms

What Success Looks Like

Within the first six months you will have helped deliver:

A reliable, production-ready workflow orchestration platform

Automated deployment pipelines across Development, Test and Production

Robust monitoring, alerting and operational dashboards

Secure configuration and secrets management

Reliable retry and recovery mechanisms for workflow failures

Clear operational documentation and runbooks

Improved visibility into workflow execution and platform health This Role Is Not a Good Fit If

This Role Is Unlikely To Suit Someone Who

Primarily works as a Cloud Architect or Solution Architect without hands-on development responsibilities

Has limited Python development experience

Has not supported production applications or operational data platforms

Prefers high-level design over building, testing and operating production software