Lead, Solutions Architect - Data Analytics Engineering
Tasks
- Apply generative AI for engineering productivity
- Build automation frameworks
- Conduct code reviews and design reviews
- Define engineering standards for data modeling and semantic layers
- Design and govern ELT architectures
- Develop data pipelines and automation workflows
- Establish DataOps observability and monitoring
- Implement Snowflake RBAC and query efficiency
- Lead cross functional data programs
- Mentor engineers and drive engineering maturity
- Modernize data platforms through migration and optimization
- Oversee release and change management
- Own CI CD pipeline reliability and automated testing
- Own end to end lifecycle of decision products
- Present architecture decisions to executives
- Provide Snowflake performance tuning and cost engineering
Perks/Benefits
- 401k matching
- Health and fitness benefits
- Maternity leave
- Merchandise discounts
- Parental leave
- Volunteer days
Skills/Tech-stack
Alerting | Automated testing | CI/CD | Change Management | Cost engineering | DBT | Data Modeling | DataOps | DevOps integration | ELT | Elementum | Generative AI | Monitoring | Observability | Performance Tuning | Power BI | Python | Query Optimization | RBAC | Release Management | SQL | Semantic layer | Snowflake | Tableau | VWH | Versioning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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