Data Architect

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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

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