Solution Design Lead, Consultant

Your Role

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Solution Design Lead, Consultant will report to the Sr Manager, Data Solutions / Director. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by designing and implementing cloud data lakes, data warehouse and data mart solutions. If you have a passion for innovation with a data driven mindset and can-do attitude, we are looking for you.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• Requires a college degree or equivalent experience and a minimum of 10 years of relevant experience.
• Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
• Hands on experience with SQL, Python, Collibra, Reltio Master Data Management, DBT Cloud and DBT core. Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)
• Prior experience in data product management is a must. This includes skills with creating roadmaps, converting business requirements to technical stories, feature prioritization and working collaboratively across cross-functional teams.
• Excellent Communication skills for engaging with stakeholders, facilitating discussions, and conveying complex technical concepts. Ability to lead and influence stakeholders while maintaining data quality standards and delivering a high-quality data product is desired.
• Advance knowledge in designing solutions for large data warehouses with a good understanding of cluster and parallel architecture.
• Adept in agile methodologies, such as Scrum or Kanban, is required for managing product backlog, sprint planning and facilitating agile development.
• Knowledgeable of Source Control and Project Management tools like Bitbucket, Git, and JIRA