Company Description: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.
Job Description:Project – the aim you’ll have
We are a team that develops and maintains analytical solutions for various verticals (finance, telco, media, retail, manufacturing & others). We are building a modern data ecosystem based on a broad range of technologies and the cloud services.
Position – how you’ll contribute
- Define the enterprise data architecture vision aligned with business strategy and digital transformation goals.
- Design conceptual, logical, and physical data models for domain-driven systems.
- Establish target-state architectures for data platforms (cloud, hybrid, on-prem).
- Evaluate and select core technologies, taking into consideration specific customer needs, priorities and current architecture
- Architect scalable data pipelines (ETL/ELT).
- Define integration standards (APIs, CDC, event-driven architectures).
- Optimize data lake, lakehouse, and warehouse architectures.
- Design high availability, disaster recovery, and backup strategies.
- Enforce security controls: encryption, IAM, row-level security, masking.
- Evaluate emerging paradigms (data mesh, lakehouse, streaming-first architectures).
- Assess tools for orchestration and transformation (e.g., Apache Airflow, dbt).
- Prototype proof-of-concept architectures.
- Ensure architectural flexibility for AI, advanced analytics, and real-time insights.
Qualifications:Expectations – the experience you need
- Experience in data modeling (conceptual, logical, physical), preferably in a large organization or within complex data ecosystems.
- Practical knowledge of tools and methodologies such as ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon.
- Ability to work with data catalogs and metadata management tools (e.g. DataHub, Collibra, Alation, Atlan).
- Knowledge of SQL and relational data models.
- Experience working with database systems and data architecture in a cloud environment
- Ability to work with engineering and analytics teams to translate business needs into data models.
- Understanding of data security, availability, and control principles.
- Good command of English (reading documentation, community discussions).
Additional skills – the edge you have
- Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects.
- Knowledge of concepts and technologies related to the semantic data layer: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel.
- Knowledge of Python for automation, model validation, and API integrations.
- Knowledge of event-driven data architecture.
- Experience in creating and maintaining architectural documentation.
Additional Information: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
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