What are the responsibilities and job description for the Lead Platform Enhgineer with Python, Prefect, AWS, Snowflake position at dotSolved?
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
- 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