[ISO] Data Architect at Software Mind in Warsaw, Mazovia, Poland

companyDescription Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. jobDescription Project – the aim you’ll have Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform — ensuring that data engineering, analytics, ML, and API initiatives are built on a coherent, future-proof foundation. Position – how you’ll contribute Define and own the end-to-end data architecture across lake, warehouse, and real-time streaming layers Establish architectural standards, design patterns, and best practices for all data domains Lead technology evaluation and selection for the cloud-native data platform stack Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities Design metadata management, data lineage, and access control frameworks in line with governance requirements Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers Represent data architecture in cross-functional forums, aligning platform decisions with business strategy qualifications Expectations – the experience you need 8+ years of experience in data engineering, platform, or architecture roles Deep expertise in designing large-scale cloud-native data platforms (AWS, Azure, or GCP) Strong knowledge of SQL, Python, Spark, and modern data stack tooling (e.g. BigQuery Snowflake, Databricks, dbt, Kafka, Delta Lake) Proven experience with data modelling (dimensional, Data Vault, lakehouse patterns) and API-first data design Ability to communicate architectural decisions clearly to both technical and non-technical stakeholders additionalInformation Our offer – professional development, personal growth Flexible employment and remote work International projects with leading global clients International business trips Non-corporate atmosphere Language classes Internal & external training Private healthcare and insurance Multisport card Well-being initiatives