Lead Analytics Engineer
Forward Financing- Location
- United States · Dominican Republic · Canada
- Workplace
- Remote
- Employment
- Full Time
- Salary
- CAD 160,000–185,000/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Own technical architecture and roadmap for complex Analytics Engineering initiatives
- Architect semantic layer and metrics standards for consistent KPI definition
- Lead technical design of AI-ready data platform for trustworthy AI/agent capabilities
- Drive technical excellence across dbt project including model architecture and CI/CD
- Set and uphold craftsmanship standards for SQL style, modeling, documentation, and data quality
- Mentor Senior and Analytics Engineers through code review, pairing, and design feedback
- Partner on technical strategy, hiring, and roadmap planning
- Lead technical partnerships with Data Science, Data Engineering, and Core Technology
- Evaluate and operationalize third-party data sources and emerging tooling
- Champion data governance and quality at the platform level
Requirements
- 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence
- Track record of leading complex, cross-cutting technical initiatives
- 4+ years of hands-on production experience with dbt
- Advanced dbt patterns including incremental strategies, macros, custom tests, and CI/CD design
- 3+ years of deep experience with a cloud-based data warehouse (Snowflake strongly preferred)
- Experience with Snowflake performance tuning and cost optimization
- Expert-level proficiency in SQL
- Expert-level proficiency in dimensional data modeling
- Portfolio of durable, well-tested models that have served as foundational layers
- Demonstrated experience designing and operating a semantic layer or metrics layer
- Proven ability to mentor senior engineers
- Proven ability to lead architectural decisions
- Proven ability to influence direction across cross-functional teams
- Excellent written and verbal communication skills
- Able to drive technical alignment with engineers and non-technical stakeholders
Preferred
- Experience designing or contributing to AI/LLM-based applications backed by warehouse data
- Hands-on experience with Python for data scripting, automation, or framework development
- Familiarity with streaming/CDC pipelines (Streamkap, Fivetran, Kafka)
- Familiarity with real-time analytics use cases
- Experience leading a data platform migration, large-scale refactor, or modeling-standards overhaul
- Experience in fintech, lending, or another regulated, data-intensive industry
Skills
- dbt
- Snowflake
- SQL
- Python
- Streamkap
- Fivetran
- Kafka
- Snowflake Cortex
- RAG
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