Agile Programming Methodologies, Atlassian JIRA, Cloud Computing, Communication Skills, Consulting, Cross-Functional, Data Management, Data Mart, Data Quality, Data Warehousing, Enterprise Architecture, Establish Priorities, Federal Laws and Regulations, Git, Kanban, Leadership, Master Data Management (MDM), NoSQL, Portfolio Analysis, Product Backlog, Product Design, Product Development, Product Management, Project Management Software, Python Programming/Scripting Language, Quality Management, Quality Metrics, SQL (Structured Query Language), Scrum Project Management and Software Development, Snowflake Schema, Source Code/Configuration Management (SCM), Sprint Planning, State Laws and Regulations, Technical/Engineering Design
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
Hybrid
This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.
Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.