DATA ARCHITECTURE LEAD

DATA ARCHITECTURE LEAD

WINNIPEG, MB

• Competitive salary and benefits package.
• Defined-benefit pension plan.
• Nine-day work cycle which normally results in every other Monday off, providing for a balanced approach to work, family life and community.
• Flex-time and partially remote work schedule (providing the option to work remotely 3 days per 2 week period), depending on nature of work, operational requirements and work location.

• 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.
• Be an advocate of data security and data governance principles and ensure appropriate security and governance practices are embedded in all our products and processes 
• Approve recommendations to improve the remote gaps/deficiencies in the current solution portfolio.
• Lead and facilitate research and assessment of emerging trends and advancements in technologies, tools, and best practices.
• Recommend new and/or improvements to solution and data architecture principles, standards, and patterns to support decision-making.

• 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.