Associate Principal Engineer, Data Architecture (Functional Architecture)
New
IndiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 9+ years
- Required Skills
- SnowflakeData modelingDatabricks
Requirements
- 9+ years of experience in Data Architecture, Enterprise Architecture, Data Management, or related roles, ideally in financial services.
- Strong domain expertise in areas such as Risk, Finance, Treasury, Capital Markets, or Transaction Banking.
- Deep understanding of financial products including loans, deposits, bonds, derivatives, swaps, and options.
- Strong knowledge of regulatory reporting frameworks such as FINREP, ILAAP, CCR, and other EMEA requirements.
- Hands-on experience with cloud data platforms such as Databricks, Snowflake, or equivalent technologies.
- Expertise in enterprise data modeling, metadata management, MDM, and data quality frameworks.
- Experience with data governance platforms (e.g., Collibra) and architecture tools (e.g., LeanIX, Ardoq).
- Strong understanding of modern data architecture patterns including Data Mesh, Data Fabric, Data Lake, and hybrid architectures.
- Excellent stakeholder management, communication, and influencing skills across technical and executive audiences.
- Strong analytical thinking, problem-solving ability, and decision-making capability in complex environments.
Responsibilities
- Lead the definition, governance, and evolution of enterprise data architecture standards, ensuring alignment with business strategy and regulatory requirements.
- Define and maintain target-state, transition-state, and current-state data architectures across financial services domains such as Risk, Finance, Treasury, and Compliance.
- Drive enterprise data modeling initiatives and ensure alignment with global and industry data standards (e.g., FSLDM, BIRD).
- Design end-to-end data flows, integration architectures, and cross-domain data solutions across complex ecosystems.
- Establish and facilitate architecture governance forums, review boards, and data standards adoption across the organization.
- Lead architectural decisions for data platforms, analytics ecosystems, and regulatory reporting initiatives.
- Partner with business, technology, and enterprise architecture teams to ensure consistency across data strategy and execution.
- Review and approve solution architectures to ensure compliance with governance, quality, and regulatory expectations.
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