Data Architect

We are excited to present an incredible opportunity for a Data Architect to shape the future of data management, data architecture and data analytics at . We seek a self-motivated individual ready to elevate our data capabilities to new heights. With a growing emphasis on data-driven decision-making,

As a Data Architect, you will be an integral part of the Data Architecture team. This role will be based in client Services .

Client supports a hybrid working model, offering you the flexibility to work both remotely and in the office.

Key Responsibilities:

Drive sustained competitive advantage for client by managing and leveraging data assets effectively.

• Implement an architecture and capability-led approach to maximize "Big Data" and "Analytics" opportunities.
• Define Information Architecture requirements for large, complex programs.
• Create reusable enterprise architecture assets and models.
• Serve as an evangelist and mentor to enhance data architecture competencies and best practices.
• Establish and promote Data Governance best practices.
• Advocate for data architecture by collaborating with key business and IT stakeholders.
• Collaborate with agile and analytics data teams to design and implement modern, scalable data products using emerging technologies.
• Act as a Subject Matter Expert for end-to-end data architecture
• Utilize strong communication skills to understand and deliver change/BAU requirements.
• Innovate by bringing your experience and ideas to the table.
• Contribute to internal networks and special interest groups.
• Desired Experience:
• While we value experience in the following areas, we are primarily looking for the right person who is adaptable, eager to learn, and responsive to emerging needs:
• Data Modelling:
• Design data models to organize and structure data, facilitating harmonization across multiple lines of business.
• Data Architecture:
• Ensure seamless integration of data from various sources into our data architecture, maintaining consistency and accuracy across systems.
• Develop and implement data governance policies and procedures to manage data ethically, securely, and in compliance with regulatory requirements.
• Data Platforms:
• Provide technical leadership for data engineering teams with expertise in platforms like SAS, Oracle, and Cloud technologies.
• Collaboration:
• Works with cross-functional teams to align data systems with business objectives.

Do you have experience in SAS?