[C3C] Senior Data Architect

Project – the aim you’ll haveWe 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 contributeDefine 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 architectureArchitect 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.Expectations – the experience you needExperience 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 environmentAbility 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 haveExperience 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.Our offer – professional development, personal growthFlexible employment and remote workInternational 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 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.Originally posted on Himalayas