Data Solutions Architect

Role: Data Solutions Architect

Location: Warsaw, Poland

Employment Type: Full-time, fixed-term (12 months; extension possible)

Domain: Banking / Financial Services

Technology Stack: Databricks, Spark, Cloud

ABOUT EUCLOID

Eucloid 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 ROLE

We 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 FIT

Academic Background

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

Technical 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 saurabh.bhaumik@eucloid.com with the subject line “Application: DSA Poland”