Tech Lead – Senior – Data & AI Solutions

March 15, 2024

Tech Lead – Senior – Data & AI Solutions


  • Standard / Permanent
  • IN-TN-Chennai
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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 24×7 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 Business line/Function :

Job Title:

Senior Technology Lead under Distribution & Data – Data &AI Solutions  Division




DDD – Data & AI Solutions



Business Line / Function:

Wealth Management Information Services

Reports to:




(if applicable)


Number of Direct Reports:


Directorship / Registration:


Position Purpose

Wealth Management (WM) has embarked on a multi-year transformation project. This transformation is in particular driven by:

·         A transformation plan for a new global IT platform called WITT (Wealth Management IT TRANSFORMATION). An integral part of this program is new platform to be designed, developed and hosted in Group DMZR (Private Cloud), gathering data from all WM locations, and dedicated to reporting, analytics and data science.

·         A specific Data Strategic plan, aiming at developing at both Business and IT sides our capabilities regarding data management, data quality and data analytics/ data science.

Under the direct responsibility of the Division managers for Data Solutions.  The Senior Technical Architect & Data Technology Lead will lead the design and build efforts for WITT (Wealth Management IT TRANSFORMATION) Program as part of Wealth Management Data Strategy. Will primarily be responsible with all aspects concerning data architecture, evaluation and implementation of capabilities in the areas of data science, data management, data analytics and business intelligence in alignment with group standards and security. In addition, guide/manage/lead the technical developers. 

Scope of project(s) :

Will be the main architect for the new DATA PLATFORM and initiatives as part of wider Data Strategy.
Providing the architectural solution/positioning of current and new capabilities in the target platform for 2024 (PROJECT TP2024).


Direct Responsibilities

·         Provide the architectural view of the solution and will be responsible for the technical documentations necessary for validations in the technical committees.  (e.g , PPC, ARC, S-CAM, CAM)

·         Responsible for the TAD (Technical Architecture Document)

·         Responsible for ensuring the security requirements adheres to group and WM standards.

·         Ensure the solution is in-line with the TP2024 vision.

·         Provide analysis/evaluation of technical solutions recommended by the group to facilitate management decision.

·         Provide architectural roadmap (planning) for software/platform upgrades (due to obsolescence or for migration to the target platform).  

·         To engage the other technical stakeholders within WM (e.g. DOMAIN ARCHITECT, Conformity Cell, Security Team, Application Integration and Production team) in the course of work.

Contributing Responsibilities

– Responsible for implementing and enforcing the WMIT Governance as the development framework to optimize IT activities & processes.  In so doing, to assist the organization in attaining the level of quality as determined by the IT Management.

Technical & Behavioral Competencies

As Technical Architect
About 15+ years of Total IT experience .

Including recent 3+ yrs into Senior Architect Role on Data Intensive Platform.

Including 5+ yrs of hands-on experience working as Technical Lead &/ Senior Data Engineer

Strong Architecture & Design Experience in

Data Platform – Data Lake, Data Warehouse, Data Management, BI Analytics & Data Science  Platform

Data Engineering Workloads – Sourcing, Ingesting, Distributed Layered Storage, History, Warehousing, Data Mart

Data Sourcing Approach – Batch, Real-time Streams, Change Data Capture, Bulk REST API

Data Modelling design covering Landing-Base-Quality-Transformed,  Dimension (SCD), Facts, Star Schema

Data Storage approach covering Interim, Base, History, Archive, Formats, Schema registry, Schema Evolution

Designing Interactive, intuitive & fast User Consumption & Semantic layers using Data Hub & BI concepts

In-Depth understanding of  Low level OS/DB/Server Security plus Data Security – at rest, In Motion & at use

System tool Integration experience with Data Lake, DWH, DM, BI, DS Platform following enterprise guidelines

In-Depth Internal working know-how of Clustered Distributed Architecture covering Resource Management, Data Partitioning, Fault Tolerance etc.

Data Platform Management concepts  – Scalability, HA, Failover, DR, monitoring, Tuning, Workload, performance, troubleshooting, release

Implementation experience overseeing setup of  Platform Tools covering Security Hardening, Multi-tenant, HA, DR Cluster, HA

Deployment Architecture implementation experience in Hybrid system with mix of On-premise (VM/PM), Private – Public Cloud

Designing Data Operations workloads covering  Orchestration, Containers (Kubernetes, Docker & Open Shift) & CI/CD Pipeline

Technical Roadmap detailing for Data Platform covering Obsolescence, Upgrades (Major / Minor), Re-Architecture, Re-Platforming

As Technical lead
Data Project Implementation platform-tools Experience as a Technical Lead for Data Engineers

Big Data Hadoop – Hortonworks HDP 3.1.x & core Components covering data engineering, management, operation stack

Big Data Hadoop – Detailed Knowledge on HDP/CDH Migration to new Cloudera CDP platform Data Storage – HDFS (File Format – Parquet, ORC, Avro, JSON), Hive (Schema, Partitioning) , Data Lake (Object Store),

Expertise in RDBM solutions (Postgres & Oracle)

NoSQL(MongoDB, HBase)

Access & Data Security – AD-LDAP-SAML- Kerberos-2FA IDP AuthN plus Data security through encryption, masking, filtering , anonymization

Access & Data Security – Tableau (Row Level Security, Access Management), Apache Ranger (Access Policy, Masking, Audit), OS Level (RHEL & Centrify)

Strong hands on experience in Processing Framework – Spark 2.x/3.x (Core, structured API, Streaming, MLLib)

Language & Package – Python (Scripting & PySpark), Scala using Spark API, Unix Shell, SQL Query (basic & advanced)

Data Integration tool – Informatica BDM/DEI 10.4.x, Apache Nifi (API, Kafka, JDBC based Ingestion) Data Governance – Informatica EDC, BDQ & Collibra covering Data Scanner, Catalog, Lineage, relationship, Dictionary (tech-biz)

 Streaming Platform – Apache Kafka, Apache Nifi, Spark Streaming, Flink, Storm

BI Analytics – Tableau Server & Creator, QlikView, Power BI, BO

Advanced Analytics – RStudio, Zeppelin, Jupyter (Preferred R & Python skills)

Cloud – Migration to Public-Private cloud provider like IBM, AWS

OS & DB – RHEL, Centrify,  Oracle, PostgreSQL, MongoDB, SQL Server

DevOps/  DataOps – Bitbucket, Jenkins, Docker, Kubernetes, AutoSys

Strong Experience in Leading & guiding developers in standards process & tools used in  design, development, testing  & deployment

Has experience working in Agile delivery model with team across local-remote


Knowledge of Data science workloads related Statistical, machine learning, AI use cases & open source library

Knowledge of Cloud Migration, Storage & Services especially for IBM Private-Public cloud stack

Wealth Management Domain experience working with IT, Business, Support, Product vendor

Specific Qualifications (if required)

Skills Referential

Behavioural Skills: (Please select up to 4 skills)

Critical thinking

Ability to collaborate / Teamwork

Attention to detail / rigor

Ability to deliver / Results driven

Transversal Skills: (Please select up to 5 skills)

Ability to understand, explain and support change

Ability to develop and adapt a process

Ability to develop others & improve their skills

Analytical Ability

Choose an item.

Education Level:

Bachelor Degree or equivalent

Experience Level

At least 12 years

Other/Specific Qualifications (if required)


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