Job Overview
Location
Remote - United States
Job Type
Full-time
Category
Data Science
Date Posted
July 2, 2026
Full Job Description
đź“‹ Description
- • Own the technical architecture and roadmap for the 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 to ensure 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 modeling, metadata, and governance decisions that enable Snowflake Intelligence and other AI/agent capabilities to be trustworthy, performant, and production-ready
- • Drive technical excellence across the dbt project by establishing and enforcing standards for model architecture, materialization and incremental strategies, performance tuning, macros, testing patterns, and CI/CD practices that scale with data volume and team growth
- • Set and uphold high standards for craftsmanship across the team by defining best practices 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 reviews, pairing sessions, and design feedback to accelerate their growth into stronger technical contributors
- • Partner with the Manager of Analytics Engineering on technical strategy, hiring decisions, 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 teams to own schema migrations, feature deployments, and contributions to streaming pipelines 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 data platform
- • Champion data governance and quality at the platform level by implementing dbt tests, lineage tracking, cataloging, observability, and compliance with security and regulatory standards to ensure trust in data for both stakeholders and AI systems
- • Serve as the senior technical voice on the Analytics Engineering team, setting architectural direction, owning cross-cutting initiatives, and raising the bar for technical excellence across the organization
🎯 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
🏖️ Benefits
- • Annual targeted salary range of $160,000–$185,000 USD
- • Annual targeted bonus of 12%
- • Remote work arrangement with team members across the United States, Dominican Republic, and Canada
- • Company recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®
- • Commitment to fair, transparent, and market-based compensation aligned with performance-driven culture
- • Opportunity to work on AI-ready data infrastructure powering Snowflake Intelligence and agent-based use cases in a fintech environment
Skills & Technologies
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About Forward Financing, LLC
Forward Financing, founded in 2012 and headquartered in Boston, Massachusetts, provides working capital to small and medium-sized businesses across the United States through merchant cash advances and short-term loans. The company uses proprietary technology and data analytics to offer fast approvals and funding, typically within one business day, without requiring collateral or perfect credit. Serving over 35,000 businesses, Forward Financing focuses on industries such as retail, restaurants, and services. It emphasizes transparent terms and dedicated customer support to help clients manage cash flow, purchase inventory, expand operations, or address unexpected expenses.
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