Eucloid is a leader in AI and Data Science, creating solutions for Hi-tech, D2C, Healthcare, and SaaS industries. They partner with companies like Databricks, Google Cloud, and Adobe, focusing on next-gen technology and delivering transformative results for Fortune 100 clients.
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).
Data Solutions Architect
Miejsce pracy: Warszawa
What You’ll Do
As a Data Solutions Architect, you will play a key role in designing, governing, and scaling enterprise data platforms for global BFSI clients.You will be responsible for:
- 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, ensuring architectural consistency and minimal business disruption
- Architect end-to-end solutions across ingestion, transformation, storage, and consumption layers
- Define and enforce non-functional requirements (NFRs), including high availability (HA), disaster recovery (DR), 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
- Reviewing platform performance, reliability, and scalability, and driving optimisation initiatives
- Ensure data platforms adhere to security, governance, access control, and auditability requirements typical of regulated banking environments
- Review platform performance, reliability, scalability, and cost efficiency, driving optimisation initiatives
- Create and maintain clear 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
- 7–10+ years of experience designing and delivering large-scale data platforms
- Strong expertise in data architecture and data modelling (conceptual, logical, and physical models)
- Deep hands-on experience with Databricks Lakehouse architecture, including Apache Spark and Delta Lake
- Strong experience with Delta Lake optimisations, including 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, multi-workspace environments
- Strong experience with at least one major cloud platform (AWS, Azure, or GCP)
- Strong proficiency in SQL and at least one programming language such as Python or Scala
- Proven experience delivering enterprise data platforms in regulated BFSI / banking environments, aligned with requirements such as 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
- 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 both 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
- 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
Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment.
We kindly inform we will contact only selected candidates.
If you are interested, please send your application.
Poznaj
Eucloid Data
Eucloid is a leader in AI and Data Science, creating solutions for Hi-tech, D2C, Healthcare, and SaaS industries. They partner with companies like Databricks, Google Cloud, and Adobe, focusing on next-gen technology and delivering transformative results for Fortune 100 clients.
