We are seeking an experienced Azure Data Architect to join our team. The ideal candidate will have a strong technical background with a deep understanding of Azure cloud platforms and a proven track record in designing and implementing data solutions. In this role, you will play a crucial part in shaping our data architecture, optimizing data systems, and ensuring seamless data integrations. If you are a self-starter with excellent communication skills and a passion for data architecture, we want to hear from you.
Key Responsibilities:
- Cloud Platform Expertise: Utilize a minimum of 2 years of hands-on experience with Azure and a detailed understanding of architecture-level engagements on cloud platforms.
- Data System Design: Lead the architecture and design of data systems, including data pipelines, data integrations, systems optimization, and integration patterns for batch, API, Events, and Messaging.
- Architecture Documentation: Create and maintain Current and Future state architecture diagrams, overall Architecture Blueprints, and conceptual amp; logical reference architectures. Ability to produce Technology strategy artifacts is an asset.
- Presentation Skills: Present architectural concepts and designs to senior architects at review boards and other councils within the organization.
- Experience Requirement: Possess a minimum of 3 years of experience as a solutions architect, integration architect, application architect, or enterprise architect.
- Industry Knowledge: Knowledge of the Financial Services/Banking industry is a strong asset.
- Educational Qualification: A Bachelor's Degree or equivalent is a definite plus.
Soft Skills:
- Effective Communication: Demonstrate effective communication skills, with the ability to present ideas and concepts clearly and concisely to a broad audience.
- Self-Starter: Exhibit the qualities of a self-starter and resourcefulness, with the ability to lead change and influence technology and business partners.
- Self-Learner: Embrace self-learning and possess organizational awareness, including knowledge of processes, procedures, key stakeholders, and accountabilities.
- Collaboration: Excel in collaboration and teamwork skills within a matrixed environment.
- Autonomy: Requires minimal direction for day-to-day responsibilities.