Lead Analytics Engineer

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Forward Financing

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💸 Finance

💳 Fintech

🤝 B2B

💰 $250M Debt Financing on 2021-05

Finance • Fintech • B2B

Forward Financing is a company that provides fast and flexible financing solutions for small businesses. They specialize in offering capital to small businesses that may struggle to secure funding from traditional financial institutions. With a simple application process, businesses can receive funding decisions within hours and may have funds transferred the same day. Their revenue-based financing model allows payments to adjust with the business's revenue. Forward Financing aims to provide clear and transparent terms, ensuring customer satisfaction and trust. They have been recognized for their excellent service and are rated highly by small business owners.

📋 Description

• Own the technical architecture and roadmap for our most complex Analytics Engineering initiatives - including semantic layer design, source-of-truth consolidation, and the data foundation for AI and agent-based use cases • Architect Forward's semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products • Lead the technical design of the AI-ready data platform - making the modeling, metadata, and governance decisions that make Snowflake Intelligence and other AI/agent capabilities trustworthy, performant, and production-ready • Drive technical excellence across our dbt project: model architecture, materialization and incremental strategies, performance tuning, macros, testing patterns, and CI/CD practices that scale as data volume and team size grow • Set and uphold a high bar for craftsmanship across the team - defining standards for SQL style, modeling patterns, documentation, and data quality, and modeling those standards in your own work • Mentor Senior and Analytics Engineers through hands-on code review, pairing, and design feedback - accelerating their growth into stronger technical contributors • Partner with the Manager of Analytics Engineering on technical strategy, hiring, and roadmap planning - acting as a deputy for technical decisions and unblocking the team on the hardest problems • Lead deep technical partnerships with Data Science, Data Engineering, and Core Technology - owning schema migrations, feature deployments, and streaming pipeline contributions where Analytics Engineering is on the critical path • Evaluate and operationalize high-value third-party data sources and emerging tooling (e.g., Snowflake Cortex, semantic layer frameworks, observability tools) and make recommendations that elevate the platform • Champion data governance and quality at the platform level - including dbt tests, lineage, cataloging, observability, and compliance with security and regulatory standards - so both stakeholders and AI systems can trust the numbers

🎯 Requirements

• 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with a track record of leading complex, cross-cutting technical initiatives • 4+ years of hands-on production experience with dbt, including advanced patterns such as incremental strategies, macros, custom tests, and CI/CD design • 3+ years of deep experience with a cloud-based data warehouse (Snowflake strongly preferred), including performance tuning and cost optimization • Expert-level proficiency in SQL and dimensional data modeling, with a portfolio of durable, well-tested models that have served as foundational layers for an organization • Demonstrated experience designing and operating a semantic layer or metrics layer that serves as an organizational source of truth • Proven ability to mentor senior engineers, lead architectural decisions, and influence direction across cross-functional teams • Excellent written and verbal communication skills - able to drive technical alignment with both engineers and non-technical stakeholders.

🏖️ Benefits

• medical • dental • vision • a flexible time-off policy • paid parental leave • RRSP match • wellness reimbursement • volunteering days • annual professional development budget • charitable donation match