• 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

Mile widziane:

• 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

• 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 optimization 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 optimization initiatives
• Create and maintain clear architecture documentation, design artifacts, and decision logs
• Collaborate closely with senior client stakeholders, delivery leaders, and cross-functional teams