About BNP Paribas India Solutions:
Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.
About BNP Paribas Group:
BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability
Commitment to Diversity and Inclusion
At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.
About Businessline/Function :
CIB Client Engagement and Protection IT having focus on applications servicing Client Lifecycle management, Due Diligence /KYC , Customer Relation Management, Service Request Management, Referential and Data Quality, PreTrade Transaction Screening, Data and Document platforms and Anti-Money Laundering. Technologies being used include Java, .NET, Angular, Informatica, sharepoint, Python, Scala, Spark, PowerBI, Fenergo, Siebel, Actimize, Camunda, Drools on private cloud infrastructure. Agile and DevSecOps practices are widely used. Landscape includes projects that are a mix of established and some under transition to new platforms.
Job Title:
Senior Data Architect
Date:
12-Mar-25
Department:
CEP IT
Location:
Bangalore
Business Line / Function:
Data & Document platform
Reports to:
(Direct)
Grade:
(if applicable)
Sr Tech Lead
(Functional)
Number of Direct Reports:
N/A
Directorship / Registration:
NA
Position Purpose
Overall 10+ years in data management roles within banking, asset management, insurance, or financial services. We are seeking a highly skilled Senior Data Architect with deep technical expertise and strong domain knowledge in financial services. This role will be responsible for designing and implementing data platforms that support critical financial processes such as internal reporting, data analysis, non-financial risk management and financial reporting. You will mentor & work with a team of data engineers & developers to ensure data is accurate, accessible, secure, and aligned with both business and regulatory needs.
The Data Architect should have key skills as mentioned below:
1- Strong experience to manage the end to end cycle, knowledge on Financial Market is an advantage
2 Good experience in the areas of Python, SQL server, Oracle, ETL, BI, Statistical Analysis, Data Warehousing and Data Governance.
3- Sound knowledge of Agile (Scrum/Kanban).
Responsibilities
Direct Responsibilities
- Represent CEP IT at local and global CIB Forums on Data Design/Architect/Modelling subjects.
- Proven track record of delivering data platforms supporting regulatory, non-financial risk, and financial reporting.
- Experience with large, complex financial data ecosystems.
- Propose / Review/ Challenge Application/database Architecture and Design.
- Guide/Review Technology Obsolescence Management plan for CEP teams.
- Lead automation and guide teams to align with shift left and shift right strategy by encouraging a mindset for automation first and reduce recursive manual efforts.
- Goto person to find solutions to any technical challenges in the domain.
- Hands on and lead by example.
- Review Performance test reports and propose preventive measures to be undertaken.
- Take ownership of POCs and technical feasibility studies.
- Keep up-to-date with latest technologies, trends and provide inputs, expertise and recommendations.
- Owner for few technical improvement projects including planning, tracking and implementation.
- Strong analytical thinking applied to data issues impacting regulatory filings and risk reports
Contributing Responsibilities
- Contribute towards innovation (e.g. AI/ML - ML models & techniques, NumPy); suggest new technical practices for efficiency improvement.
- Contribute towards recruitment.
- Level-up of members in the vertical.
Technical & Behavioral Competencies
- Design and optimize data models for financial products, transactions, non-financial risk metrics, and financial reports.
- Contribute to the end-to-end architecture and lifecycle management of financial data platforms, from ingestion to consumption.
- Ensure smooth delivery for Data Services via a core platform.
- Identify and contribute to performance optimization of the platform
- Ensure data pipelines are optimized for scalabilty, stability and security (Data encryption, RBAC/ABAC/DAC, Data masking/tokenization).
- Implement best practices for data lineage tracking, metadata management and data quality (Data profiling, Anomaly detection, Issue management) monitoring.
- Implement complex data ingestion pipelines sourcing from market data providers, custodians, and internal systems & platforms for both structured and unstructured data.
- Strong Hands-on experience in SQL, RDBMS(PL/SQL,Data Architecture, stored procedures) , Data modelling tools, Data warehouse, ETL, Data visualization, Data Governance (Collibra, Data catalogs, Data lineage tools, metadata management, data access pattern).
- Good Knowledge and experience on projects related to Data Modelling, System/Data analysis, design and development for both OLTP and OLAP environments/databases (SQL Server, Oracle, Postgres OpenSearch).
- Experience in Security topics such as IDP, SSO, IAM and related technologies.
- Good knowledge and experience on Batch processing & Streaming (Python, Informatica, SSIS. Knowledge of Ab Initio optional, Kafka, spark/pyspark), API Gateway (APIGEE) and analytics tool (Power BI, Tableau, Business Objects).
- Ensure data classification, data access, retention, encryption and masking (PII and financial data) are as per the needs of the business as well as that of regulators (GDPR, HIPAA, SEC etc)
- Collaborate with Risk, Finance, Compliance, and Operations to deliver trusted data for regulatory filings, risk reporting, and front-office analytics.
- Mentor data engineers and developers.
- Good experience of working with Data Modelling tools like Erwin, ETL tools, Database tools.
- Good Knowledge of Agile, Scrum, DevOps - CI/CD & Automation (Jenkins, Bitbucket, JFrog, Ansible, continuous testing).
- Development experience in Data Engineering team.
- Ability & willingness to learn & work on diverse technologies (languages, frameworks, and tools).
- Self-motivated, good interpersonal skills and inclination to constantly upgrade on new technologies and frameworks.
- Good communication and co-ordination skills.
Nice to have Skills:
- Experience in Cloud Architectures.
- Knowledge/experience on Dynatrace, Splunk, Spark and Pyspark.
· Knowledge/experience on No SQL databases (MongoDB, Cassandra).
- Some exposure to Caching technologies like Redis or Apache Ignite.
· Exposure to Client Management or financial domain.
· Data Modelling/Architect certification.
Specific Qualifications (if required)
Skills Referential
Behavioural Skills: (Please select up to 4 skills)
Ability to synthetize / simplify
Personal Impact / Ability to influence
Attention to detail / rigor
Ability to deliver / Results driven
Transversal Skills: (Please select up to 5 skills)
Analytical Ability
Ability to manage / facilitate a meeting, seminar, committee, training…
Ability to inspire others & generate people's commitment
Ability to develop and leverage networks
Ability to anticipate business / strategic evolution
Education Level:
Bachelor Degree or equivalent
Experience Level
At least 10 years
Other/Specific Qualifications (if required)
