Praca uszczęśliwia Data Solutions Architect

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

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 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

Domain & Delivery Experience:

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

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 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

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

Prosimy o dopisanie klauzuli: Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych w procesie rekrutacji.

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