Senior Software Architect - Data Mesh & EA

Sii Poland; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Great Place to Work

Centre of internal trainings

Profit sharing

Medical care

Open and accessible management team

Job summary

Sii Poland is seeking a Senior Software Architect to lead the Enterprise Architecture, Data Architecture, and data governance initiatives. You will help build a consistent reference architecture and coordinate across distributed architectural knowledge in a large enterprise environment.

You will define models, standards, and guidance with technical experts, while hands‑on scripting and automation accelerate data metadata collection and validation.

Qualifications

• Minimum 8 years of experience in enterprise, capability, or data architecture.
• Strong expertise in Data Mesh, data governance, and data products.
• Solid understanding of APIs and integration patterns.
• Hands‑on skills in Python and Bash Shell for automation.
• Experience with reference architectures and architecture repositories.
• Fluent English and residency in Poland.

Responsibilities

• Curating technical capabilities and improving the Reference Architecture Framework content.
• Collaborating with platform teams to represent their offerings in the RAF.
• Supporting enterprise reuse initiatives by aligning platform and service descriptions.
• Automating architecture information management through reusable scripts and AI‑assisted workflows.
• Developing practical guidance by transforming recurring questions into reference patterns and automated checks.

Skills

Python

Bash Shell

Data Mesh

Data governance

API design

Architectural frameworks

English communication

Tools

Architecture repositories

Job description

Sii Poland is seeking a Senior Software Architect to lead the Enterprise Architecture, Data Architecture, and data governance initiatives. You will help build a consistent reference architecture and coordinate across distributed architectural knowledge in a large enterprise environment.

You will define models, standards, and guidance with technical experts, while hands‑on scripting and automation accelerate data metadata collection and validation.