Role: Data Solutions ArchitectLocation: Warsaw, PolandEmployment Type: Full-time, fixed-term (12 months; extension possible)Domain: Banking / Financial ServicesTechnology Stack: Databricks, Spark, CloudABOUT EUCLOIDEucloid is a Data Intelligence and AI consulting firm focused on building scalable, enterprise-grade data platforms for global clients across Banking & Financial Services, Healthcare, Hi-Tech, D2C, and SaaS.With strong partnerships across the modern data ecosystem, including Databricks and leading cloud providers, Eucloid delivers end-to-end data engineering and analytics solutions for complex, regulated environments. Our teams work closely with client stakeholders to design, build, and govern mission-critical data platforms at scale.ABOUT THE ROLEWe are hiring a Data Solutions Architect for a strategic engagement with a large UK-based multinational bank. This role is part of a long-running enterprise data transformation program and focuses on designing, governing, and scaling Databricks-based data platforms in a regulated banking environment.The role combines strong hands-on architectural depth with ownership of platform standards, non-functional requirements, and technical governance.WHAT YOU’LL DO Design and own enterprise-scale data architectures aligned to business, regulatory, and scalability requirements Lead the migration of legacy data warehouse platforms (on-prem or cloud DWH) to Databricks-based lakehouse architectures Architect end-to-end solutions across data ingestion, transformation, storage, and consumption layers Define and enforce non-functional requirements including high availability, disaster recovery, and clearly defined RTO/RPO objectives Establish and maintain architecture governance, including reference architectures, design standards, and technical review processes Guide data engineering teams on implementation approaches, best practices, and architectural trade-offs Ensure data platforms comply with security, access control, auditability, and governance requirements typical of regulated banking environments Review platform performance, reliability, scalability, and cost efficiency, and drive optimisation initiatives Create and maintain architecture documentation, design artefacts, and decision logs Collaborate closely with senior client stakeholders, delivery leaders, and cross-functional teams WHAT MAKES YOU A FITAcademic BackgroundBachelor’s or Master’s degree in Computer Science, Engineering, or a related disciplineTechnical Expertise 7–10+ years of experience designing and delivering large-scale data platforms Strong expertise in data architecture and data modelling (conceptual, logical, and physical) Deep hands-on experience with Databricks Lakehouse architecture, including Apache Spark and Delta Lake Strong experience with Delta Lake optimisations such as file sizing, compaction, schema evolution, and performance tuning Hands-on experience with Databricks Unity Catalog for enterprise data governance, access control, and lineage management Experience defining and enforcing Databricks cost governance and optimisation strategies in large environments Strong experience with at least one major cloud platform (AWS, Azure, or GCP) Solid understanding of distributed data systems and big data technologies, including Apache Spark and familiarity with Kafka Strong proficiency in SQL and at least one programming language such as Python or Scala Domain and Delivery Experience Proven experience delivering enterprise data platforms in regulated BFSI or banking environments aligned with BCBS 239, GDPR, and internal risk and compliance standards Experience working with risk, finance, AML, or regulatory reporting data domains Strong understanding of data lineage, auditability, reconciliation, and data quality controls required for banking-grade platforms Experience operating and governing data platforms with strict SLAs and regulatory-driven reliability expectations Experience translating business and regulatory requirements into secure, scalable technical architectures Prior experience working in client-facing, delivery-oriented roles within consulting or large enterprise environments Additional Skills Experience mentoring senior and mid-level engineers and guiding architecture decisions across multiple delivery teams Strong stakeholder communication skills, with the ability to explain complex architectural concepts to technical and non-technical audiences Experience contributing to architecture governance, technical standards, and design reviews Strong decision-making skills, balancing architectural rigor with pragmatic delivery in large transformation programs Nice to Have Exposure to Data Mesh or domain-oriented data architecture paradigms Experience integrating data platforms with AI/ML or advanced analytics use cases Prior exposure to UK or European banking environments Experience contributing to multi-year, enterprise-scale data transformation programs Engagement Details: Employment Type: Full-time, fixed-term (12 months) Location: Poland (EU-based candidates; hybrid/on-site based on client requirements) Start Date: Early February 2026 Extension: Possible based on performance and program continuity About Our Leadership Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad). Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow). Equal Opportunity Statement:Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment.Submit your resume to [email protected] with the subject line “Application: DSA Poland”