Data Architect

• Assess clients’ current data landscapes and design target-state cloud, hybrid, or on-premises architectures aligned with business goals
• Select technologies based on client needs, constraints, and existing stacks, with Snowflake and Databricks as core platforms
• Design lakehouse, warehouse, and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming, and API integrations
• Design conceptual, logical, and physical data models using Kimball, Data Vault, or 3NF, plus semantic layers for BI and AI
• Define IAM, encryption, masking, row-level security, high availability/disaster recovery, performance, and cost optimization
• Build data governance foundations including catalog, metadata, lineage, data quality, and data contracts
• Prepare platforms for advanced analytics, ML, GenAI, and real-time use cases
• Create reference architectures, reusable patterns, and accelerators for the Data & AI offering
• Act as technical authority for delivery teams by reviewing designs and maintaining quality across projects
• Partner with sales and industry teams on technical presales, discovery workshops, solution design, estimations, proposals, and RFPs
• Present architectures and recommendations to engineering teams and C-level stakeholders
• Design and run proofs of concept and technical demos
• Evaluate new approaches and tools and share findings internally and externally

• 7+ years in data engineering or data architecture, including at least 3 years in an architect role
• Hands-on experience designing and delivering solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark): expert level in at least one, working knowledge of the other
• Experience with at least one major cloud (Azure, AWS or GCP) and its data services
• Strong data modeling skills (Kimball, Data Vault, 3NF)
• Strong SQL and good Python
• Experience with orchestration and transformation tools (e.g. Airflow, dbt, Azure Data Factory)
• Solid understanding of data security, governance and regulatory requirements
• Client-facing experience, ideally in consulting or IT services, and ability to explain technical trade-offs to business stakeholders
• Very good English, spoken and written (C1)
• Snowflake (SnowPro Advanced), Databricks or cloud architect certifications
• Experience with Microsoft Fabric, BigQuery or Redshift
• Streaming (Kafka, Spark Structured Streaming) and event-driven architectures
• Data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub)
• Semantic layer and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL)
• Domain experience in one of the listed verticals
• Previous presales or solution consulting experience

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access to language classes
• Access to knowledge-sharing initiatives
• Access to private healthcare and life insurance
• Access to multisport card