Transform Your Career as a Senior Data Architect
About the Role
As a Senior Data Architect, you will play a pivotal role in crafting a data landscape that empowers data-driven decision making.
You will work closely with our IT architecture team to design and implement scalable data models and structures that ensure data integrity and quality. This involves collaborating with business units to understand their data needs and translating them into functional requirements.
Your expertise in commodity trading or financial services will be invaluable in shaping our business data domain model and influencing enterprise data standards.
Key Responsibilities:
1. Data Architecture Strategy: Develop and oversee the data architecture strategy from a business perspective, focusing on reducing data replication and aligning with enterprise-wide standards.
2. Data Modeling: Design and implement scalable data models and structures that ensure data integrity and quality.
3. Collaboration: Partner with cross-functional teams, including IT architecture and external vendors, to embed data principles and align with business priorities.
* Governance and Monitoring: Establish data & performance metrics and monitoring strategies to ensure the robustness and scalability of data systems.
* Stakeholder Engagement: Mentor business users, facilitate adoption of data principles, and act as a key liaison between business needs and technical teams.
What We Are Looking For:
* A minimum of 10 years of experience in data management or architecture, with at least 5 years in a senior role.
* Expertise in designing scalable data solutions, data modeling, and governance frameworks.
* Extensive experience in energy commodity trading or financial services is essential.
* Exceptional interpersonal and communication skills, with the ability to drive consensus and bridge business and technical teams.
* Proficiency in relational and non-relational databases (SQL, NoSQL), analytics tools, and modern data technologies.
* A Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
* Fluent English language skills; additional languages are an advantage.
About Our Team:
As part of our Data & Analytics Office, you will collaborate with a passionate and innovative team across business units. You will have close interaction with the IT architecture team and contribute to a culture of collaboration, innovation, and continuous improvement.