Full Job Description
The position is accountable for ownership of key data technologies including Snowflake, Power BI, Informatica, and related integration platforms, ensuring scalable, reliable, and cost-effective data solutions across the enterprise. The role is fully remote. Applicants in different states are encouraged to apply.
Key Responsibilities
Leadership & Team Management
- Lead, mentor, and develop a team of data engineers and BI developers
- Establish delivery standards, performance expectations, and career development plans
- Promote a culture of accountability, innovation, and continuous improvement
- Foster a high-performing engineering culture focused on accountability, delivery excellence, innovation, operational maturity, and continuous improvement
Data Platform Ownership
- Own and manage enterprise data platforms including Snowflake, Informatica, and Power BI
- Ensure platform performance, scalability, reliability, and security
- Drive standardization of data engineering practices, architecture, and delivery frameworks
- Drive modernization of enterprise data architecture, integration patterns, and cloud data capabilities
- Establish scalable DataOps and platform governance practices to improve reliability, observability, and delivery efficiency
Portfolio & Delivery Management
- Manage a large portfolio of data and analytics demand across business functions
- Prioritize initiatives and ensure alignment with strategic objectives
- Design and implement repeatable, scalable solutions to improve speed and consistency of delivery
Roadmap & Financial Management
- Develop and maintain multi-year technology roadmaps for data and analytics platforms
- Lead annual budget planning, forecasting, and ongoing financial management
- Optimize platform costs while maintaining service quality and delivery timelines
Solution Design & Optimization
- Evaluate solution viability including technical feasibility, cost, and long-term sustainability
- Continuously improve platforms to increase delivery velocity and operational efficiency
- Drive modernization initiatives to enhance data architecture and integration capabilities
AI & Self-Service Enablement
- Expand AI-enabled services and capabilities within the data platform ecosystem
- Enhance business self-service analytics through governed datasets and reporting frameworks
- Increase adoption of scalable, reusable data products across the organization
Stakeholder Collaboration
- Build strong partnerships across IT (Infrastructure, Applications, Security) and business units
- Translate business requirements into technical solutions aligned with enterprise standards
- Ensure transparent communication of priorities, progress, risks, and outcomes
Qualifications
Required
- Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
- 8+ years of experience in data engineering, analytics, or business intelligence
- 3+ years of experience leading technical teams
- Strong expertise with modern data platforms (e.g., Snowflake, ETL/ELT tools, Power BI)
- Experience managing multiple concurrent projects and prioritizing competing demands
- Demonstrated experience developing roadmaps and managing budgets
- Strong communication and stakeholder management skills
Preferred
- Experience with enterprise data platform modernization and cloud data architectures
- Familiarity with data governance, data quality, and metadata management practices
- Experience implementing self-service analytics frameworks at scale
- Exposure to AI/ML or intelligent automation within data platforms
If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.
