Data Architect

Job Description

Responsibilities
§ Analyze business needs by facilitating business & IT discussions, reviewing requirements from business and technical stakeholders.
§ Facilitate the design of flexible and scalable data architecture with an understanding of both functional and technical requirements. Focus to maintain balance between technology and execution efficiency.
§ Collaborate with business partners in Finance, Risk, Liquidity and Regulatory reporting to develop and maintain conceptual and logical data models in harmony with FRESH business strategies
§ Design and architecture of ETL interfaces, Data Marts, and Data Warehouse methodologies, adhering to the designed technical architecture and technologies within BNP Paribas
§ Work closely with the technical team to understand the existing technical and functional flows and deliver an end-to-end solution solving existing system deficits.
§ Design end to end solutions focusing on Data Lineage, Reconciliations, Controls, User Interface
§ Partner with Enterprise Architects, Transversal teams, clients, ETL developers, other key stakeholders to design and develop high performing database solutions and maintain consistent data element definitions
§ Create high-level design documents and detailed specifications, in accordance with BNP Paribas architecture standards.
§ Supports decision making by performing tradeoff analysis and recommending optimal solutions.

§ Assist the Project Manager to:
o Execute the project plan and coordinate with the project stakeholders
o Manage issues and risks
o Report status, budget consumption and capacity planning


Preferred Experience – Qualifications – Soft Skills
§ 7+ years of experience in Data Architecture and Data Modeling, along with Solid experience in delivering multiple technical and data architecture for large projects.
§ 7+ years of complete system development life cycle experience with complex data integration solutions using relational data platforms (Oracle, Teradata, etc… ) and/or Big Data
§ Possess in depth technical development experience and a broad awareness of data management disciplines listed -but not limited to - below:
• Data Modeling.
• Data Integration (ETL/ELT).
• BI tools like OAS and Tableau
• Sensitive Data Management – Data classification and handling. • Metadata, Data Quality, Master Data Management.
• Programming including shell scripting.
§ Experience in Banking and Financial Services industry with domain knowledge of Ledger and Referential Data, banking products such as Deposits, Loans, Securities, Derivatives, etc.
§ Demonstrates a sense of ownership of desired outcomes. Has a 'driver' mindset to move forward the design process for an application.
§ Proven hands-on experience in solution driving and problem solving.
§ Ability to work independently under strict deadlines.
§ Strong engagement skills between, management, sponsors and stakeholders.
§ Excellent written and oral communication skills
§ Results driven, client focused