QUALIFICATIONS:

• A four-year degree in Computer Science, Computer Engineering, Statistics, Applied mathematics, or other relevant discipline
  from a university of recognized standing with a minimum of six years of directly applicable experience,

OR

• A two-year diploma in Computer Programming Technology from an institute of recognized standing with a minimum of eight

years of directly applicable experience

• Proven track record of leading data architects through complex project lifecycles in a dynamic business environment.
• Ability to lead a team effectively, including task delegation, mentorship, and line-of-sight alignment between assigned work

and business unit objectives.

• Expertise in data architecture, data management, and geospatial data technologies.
• Experience working with structured and unstructured data
• Comprehensive understanding of the latest trends in data warehousing, ETL, cloud-based data solutions, and big data

technologies.

• Experience with traditional and modern data warehousing, data lake, analytics, and reporting technologies such as Azure,

Databricks, Informatica, CI/CD pipelines, PowerBI, and SAP Datasphere.

• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical

stakeholders.

• Effective communicator with the ability to articulate complex data concepts to non-technical audiences and proficiency in

overseeing multi-disciplinary squads to foster innovation and collaboration.

• A “bar-raiser” mentality, driven to motivate and lead teams in a high performing culture talent environment and able to provide

direct, candid feedback to employees.

• Proven experience in engaging and managing relationships with senior stakeholders, including executives and business

leaders. This involves excellent negotiation and influencing skills

• A forward-thinking mindset with the ability to drive innovation and adopt emerging technologies that can benefit the

organization.

• Proficiency in Data Modeling and Database Design.
• Ability to project manage initiatives effectively and manage several concurrent projects through collaboration across teams in

an agile environment.

• Well-versed in Agile frameworks and methodologies, with certifications such as Certified Scrum Master (CSM) or SAFe Agilist

(SA) being highly advantageous.

• Strong team building, organizational change management and people management skills in a matrixed organization.
• Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment.

capabilities.

• Set and monitor key performance indicators (KPIs) to track success and identify improvement areas.
• Approve and contribute to the overall data architecture, considering data sources, data flows, storage systems, dat

regulatory requirements.

• Support your team in delivering steady business value by removing risks, blockers, and overall delivery impediments.
• Ensure the team understands the vision and objectives of the organization, business unit, division, and department and ho

• Lead a team of specialized data architects (structured and geospatial data), providing mentorship, guidance, and professional

development opportunities, ensuring a high level of team performance and accountability.

• Identify skill gaps within the team and provide opportunities for professional development and training to enhance their

capabilities.

• Set and monitor key performance indicators (KPIs) to track success and identify improvement areas.
• Approve and contribute to the overall data architecture, considering data sources, data flows, storage systems, data

integration, and data consumption.

• Review and contribute to enterprise data architecture strategies that align with the company’s business objectives and

regulatory requirements.

• Support your team in delivering steady business value by removing risks, blockers, and overall delivery impediments.
• Ensure the team understands the vision and objectives of the organization, business unit, division, and department and how

their backlog and priorities support achieving those objectives.

• Oversee the design and implementation of data architecture projects, ensuring they are delivered on time and within budget.
• Review and contribute to enterprise information architecture standards for data.
• Improve our agile practice by partnering with coaches, leaders, and team members to review and action metrics, empower

and improve team dynamics and delivery.

• Oversee the architectural design of technology solutions, utilizing knowledge of defined reference architectures, technology

trends, and implementation experience to translate a business need into a solution blueprint that represents an end-to-end

solution.

• Approve the logical and physical architecture for a project and ensure it aligns with the standards and reference architectures

defined by the technical domain and enterprise architects; and is aligned with enterprise goals & strategies.