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Lead Analytics Engineer

Forward Financing · United States · Dominican Republic · Canada · Remote

About Forward Financing

3 open jobs
  • Financial Services & Banking
  • 501–1,000 employees
  • Boston, Massachusetts
4545

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Stale

Open 123 days · How we score

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  • Open 123 days
  • Barely describes the job

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  • Publishes a salary range
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Lead Analytics Engineer at Forward Financing. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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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

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