Associate Principal Engineer, Data Architecture (Functional Architecture)

Job Description

REQUIREMENTS:

• Total Experience 9+ years’ experience
• Strong experience in Data Architecture, Enterprise Architecture, Data Management, or related roles within the Financial Services industry.
• Strong business domain expertise in one or more of the following: Risk, Finance, Treasury, Compliance, Transaction Banking, or Capital Markets.
• In-depth understanding of financial products, including Loans, Deposits, Bonds, Derivatives, Swaps, and Options.
• Strong knowledge of regulatory reporting frameworks such as FINREP, ILAAP, CCR, STE, TTR, and other EMEA regulatory reporting requirements.
• Proven experience designing and implementing enterprise data architecture, governance frameworks, and target-state data architectures.
• Demonstrated experience establishing governance operating models, architecture review forums, and enterprise data standards.
• Strong expertise in enterprise data modelling and industry-standard data models such as FSLDM and BIRD.
• Experience designing enterprise data flows, integration architectures, and cross-domain data solutions.
• Knowledge of modern data architecture patterns, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and AI/Agentic data ecosystems.
• Excellent stakeholder management, communication, facilitation, and influencing skills.
• Strong analytical, problem-solving, and decision-making capabilities.
• Hands-on experience with Databricks, Snowflake, or similar cloud data platforms.
• Experience using enterprise data governance platforms such as Collibra.
• Familiarity with Enterprise Architecture tools including LeanIX, Ardoq, or equivalent platforms.
• Experience evaluating and selecting enterprise data technologies and architecture tools.
• Knowledge of cloud-based data platforms, metadata management, master data management (MDM), and data quality frameworks.

RESPONSIBILITIES:

• Define, implement, and govern enterprise data architecture standards, policies, and frameworks across the assigned business domain.
• Ensure data architecture artefacts, data products, and data deliveries comply with enterprise governance, quality, and regulatory requirements.
• Lead domain data modelling activities and ensure alignment with enterprise and global data models.
• Develop and maintain current, transition, and target-state data architectures and data flows across business domains.
• Drive architecture decisions for enterprise data platforms, analytical solutions, and strategic data initiatives.
• Establish and facilitate data governance forums, architecture review boards, and decision-making processes.
• Collaborate with business stakeholders, data owners, technology teams, and enterprise architects to align on data standards and architecture roadmaps.
• Provide architectural leadership for regulatory reporting and business transformation initiatives across Risk, Finance, Treasury, Compliance, or Transaction Banking domains.
• Review and approve solution and data architecture artefacts to ensure adherence to enterprise standards and best practices.
• Monitor emerging technologies and modern data architecture trends, recommending innovative solutions that support the organization's strategic objectives.
• Contribute to the development of enterprise data strategy, governance capability, and future-state architecture roadmaps.
• Promote the adoption of enterprise data governance, metadata management, and data quality practices across the organization

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.