Principal Engineer, Domain Data Architecture (Functional Data Architecture)

REQUIREMENTS:

• Total Experience 12+ years
• Business knowledge/SME in either or all of the following domains: Risk, Finance, Transactions, Compliance, etc. This includes experience working in Financial Services organizations and dealing with business capabilities/processes for various products such as Loans, Deposits, Capital Market products (Derivatives, Bonds, Swaps, Options, etc.).
• Extensive knowledge of regulatory reporting requirements in these areas across EMEA and the associated solution landscape.
• Good understanding of the Trade Lifecycle, its actors/roles and responsibilities, and how data is managed throughout the lifecycle.
• Specialization in regulatory reporting areas such as ILAAP, FINREP, STE, TTR, CCR, etc., will be an added advantage.
• Proven ability to deliver enterprise data architecture policies and target states.
• Experience establishing governance functions, drafting Terms of Reference (ToRs), and chairing governance forums.
• Ability to create data flows across domains (target states, transition states, etc.).
• Competence in reviewing data architecture artifacts and making decisions based on policies and standards.
• Experience with data modelling and industry standards (e.g., FSLDM, BIRD).
• Understanding of current data methodologies (e.g., Data Lake, Data Mesh, Data Fabric, Hybrid, Agentic).
• Data modelling experience/knowledge.
• Experience evaluating and recommending data tools.
• Hands-on experience with Databricks, Snowflake, or similar platforms.
• Familiarity with Collibra and Enterprise Architecture tools such as LeanIX, Ardoq, etc.

RESPONSIBILITIES:

• Implement data standards, policies, and guidelines to ensure data deliveries and architecture artifacts maintain integrity, quality, and consistency across the business area/domain.
• Ensure alignment with Data Governance frameworks and IT initiatives within the business area/domain.
• Oversee business area/domain data modelling and ensure its global alignment.
• Facilitate communication and collaboration for the adoption and maintenance of data policies and frameworks.
• Drive the management and adoption of data policies and frameworks within the business area/domain across EMEA and globally.
• Drive data architecture decisions for Data Solutions/Products.
• Collaborate with IT teams and business stakeholders to gain alignment on data policies and standards.
• Contribute to data architecture discussions and lead decision-making in this area.
• Stay informed about industry trends, emerging technologies, and best practices in data architecture and data management.
• Use industry knowledge to build future-focused data architecture capability roadmaps.

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