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 Business line/Function :
Job Title:
Senior Technology Lead under Distribution & Data - Data &AI Solutions Division
Date:
NA
Department:
DDD - Data & AI Solutions
Location:
Chennai
Business Line / Function:
Wealth Management Information Services
Reports to:
(Direct)
NA
Grade:
(if applicable)
(Functional)
Number of Direct Reports:
1
Directorship / Registration:
NA
Position Purpose
Wealth Management (WM) has embarked on a multi-year transformation project. This transformation is in particular driven by:
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).
Responsibilities
Direct Responsibilities
Contributing Responsibilities
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
Optional
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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