Principal Engineer, Domain Data Architecture (Functional Data Architecture)
Nagarro · India
IT Services and IT Consulting · 10,001+ employees
About the role
Implement data standards and policies to ensure integrity and consistency across business domains. Drive data architecture decisions and collaborate with stakeholders to align data solutions with global governance frameworks.
What they look for
Requirements
Requires over 12 years of experience with deep subject matter expertise in financial domains such as Risk, Finance, and Compliance. Must be proficient in data modelling, regulatory reporting, and modern data platforms like Databricks or Snowflake.
Full description
Company Description
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.
Job Description
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.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
- Service Region: South Asia
