Summary

Overview

Work History

Education

Skills

Timeline

S.V. Santosh Kumar

Data Architect | Enterprise Data Platforms | AML & Banking

Mumbai

Summary

Enterprise Data Architect with 12+ years of experience designing and governing bank-owned, regulatory-grade data platforms across BFSI domains. Proven expertise in data architecture, enterprise data modeling, governance, lineage, and trusted data sources. Currently leading design authority responsibilities for an in-house AML platform within a large bank. Experience in influencing global stakeholders, defining architecture standards, and driving adoption of enterprise data models across cloud and big data ecosystems. Accountable for data architecture decisions across multiple banking data domains, balancing regulatory, operational, and analytical requirements.

Overview

years of professional experience

Work History

AML Data Architect – Design Authority

IDFC First Bank | Ernst & Young, India

01.2025 - Current

Serving as the Enterprise Data Design Authority for a regulatory-grade financial crime platform, owning end-to-end architecture, governance strategy, and compliance alignment across AML and Risk domains.
Defined and institutionalized enterprise AML data architecture, including trusted source strategy, golden data frameworks, and regulatory-grade data quality controls.
Led enterprise data modeling and governance initiatives covering lineage, ownership, audit traceability, and reporting alignment for regulatory and investigation use cases.
Directed data integration, migration, and archival strategy supporting platform modernization, and regulatory retention mandates.
Partnered with senior stakeholders across Risk, Compliance, and Technology, while leading and mentoring cross-functional data teams to drive architectural standards and delivery excellence.

Snowflake Data Architect – Collections & Risk

Aavas Financiers | Ernst & Young, India

05.2024 - 12.2024

Owned end-to-end data architecture for Collections and Delinquency domains on Snowflake, aligning platform design with Risk, and business objectives.
Designed enterprise data models enabling NPA tagging, roll-rate analytics, and KPI-driven performance monitoring.
Established data standards, naming conventions, and quality controls for scalable and governed daily ingestion pipelines.
Led large-scale historical data profiling to assess quality, consistency, and lifecycle readiness for analytics and reporting.
Partnered with business, risk, and analytics stakeholders to translate requirements into governed data assets, while driving process automation to accelerate data delivery.

Enterprise Data Modeller – Corporate & Investment Banking

Nedbank | Exusia Inc, Bengaluru

09.2023 - 04.2024

Developed conceptual, logical, and physical data models and enterprise data dictionaries.
Supported governance reviews, schema assessments, and optimization initiatives.
Contributed to standardization of data products and ingestion patterns.
Participated in peer reviews and model governance forums to uplift overall team quality and consistency.

Azure Data Architect - Wholesale Banking

HDFC Bank | Ernst & Young

03.2022 - 05.2023

Designed a unified enterprise data lake architecture for Wholesale Banking on Azure.
Developed domain-aligned data models following industry banking standards.
Implemented governance, metadata, and data quality controls across Azure platform.
Provided technical leadership to implementation teams during Azure data lake build-out.

Business Analyst, HSBC Wealth & Personal Banking

HSBC / Ernst & Young

12.2020 - 02.2023

Worked directly with HSBC WPB stakeholders on Customer Profitability initiatives.
Collaborated with HSBC onshore and offshore teams, adhering to HSBC data standards and governance practices.
Supported customer, product, and channel profitability data models on GCP.
Mapped multi-source data into HSBC enterprise models (iHUB).

Education

B.Tech -

Institute of Technical Education & Research

Bhubaneshwar

01.2011

Skills

Data Platforms: Snowflake, Databricks, Azure (ADF, Synapse, ADLS), Hadoop, Datalake , Data Warehousing

Data Technologies: Hive, Spark, SQL

Data Governance: Erwin, Metadata, Lineage frameworks

Orchestration: NIFI, Control-M, Airflow

DevOps: Azure DevOps, Jenkins, Github, BitBucket

Languages: SQL, Python, Shell

Conceptual, Logical, Physical & Dimensional Data Modeling

Data Integration, Migration & Archiving

Stakeholder Management & Matrix Leadership