Senior Data Analytics Developer at Maxa in Montreal, Quebec, CA

About Maxa

Maxa is an AI-powered financial and ERP data platform that unifies and harmonizes data from multiple business systems, from ERPs and CRMs, to operational tools, all within one single, auditable source of truth. The platform eliminates manual spreadsheet work and siloed reporting by embedding business logic once, making it accessible across teams in real time. Built natively on Snowflake, Maxa is trusted by enterprise clients across aerospace, food, aviation, and financial services industries.

In short: Maxa is a fast-to-deploy platform that turns messy, multi-system ERP environments into a clean, AI-queryable source of truth for business analysis.

TL;DR

• Transform complex ERP data into event-sourced, enterprise-grade semantic data models using our proprietary methodology and AI-augmented tooling.
• You own the technical bridge between business requirements and data architecture.
• Hybrid in our Montreal office (Tues–Thurs).

The Mission

Maxa AI has solved the hard technical problem: transforming fragmented ERP data into CFO-trusted insights in weeks instead of months. We have the product, methodology and the technology.

What we need: Analytics Engineer who owns the technical heart of our delivery process, and who seeks to blend data engineering, analytics engineering, and software development responsibilities

This is not a standard dbt shop role. You will work directly with customers during structured discovery workshops, validate detailed technical specifications with cross-functional partners, build data models that span dimensions, hierarchies, measures, and event timelines, and contribute to a shared pattern library that compounds our delivery intelligence with every engagement.

And here’s where it gets even more interesting: we’re building an AI-augmented data engineering platform. As an AE at Maxa, your role will evolve from writing SQL to teaching AI agents to build out data models. From building pipelines to architecting the system that builds pipelines. Every intervention you make today becomes training data for tomorrow’s automation.

What You'll Do

You'll build the crucial bridge between technical and business by:

• Translate validated technical specifications into a unified business data model: using dbt on Snowflake.
• Ensuring robust data infrastructure and delivering actionable insights to business stakeholders.
• Optimizing SQL queries in Snowflake to maximize performance.
• Participate in technical specification walkthroughs with Business Analysts and Business Data Analysts, validating feasibility and completeness before development begins.
• Implement and validate business rules: harmonization logic, metric calculations, and exception handling.
• Contributing to the continuous improvement of our proprietary data model.
• Working closely with our cross-functional teams: Delivery Managers, Business Analysts, Business Data Analysts, Business Intelligence.

Scale Through Continuous Improvement

• Capture reusable patterns in our shared library: entity definitions, event flows, common ERP table mappings, and resolution heuristics from past engagements.
• Experiment boldly with AI and automation and find the workflows that 10x delivery speed
• Obsess over the metrics that matter: cycle time per entity, first-pass quality rate, control total accuracy, pattern library reuse rate.

You're the Right Person If...

Must-Haves

✅ You have 3-5 years of experience in data modeling, serving business purposes (ERP systems experience is a great asset!)

✅ You master dbt and are passionate about its possibilities.

✅ You're strong with SQL and Git, and knowledgeable about Python

✅ You have a deep understanding of software development best practices

✅ You can bridge the gap between business needs and technical solutions

✅ You communicate proactively, in both English and French

✅ You're curious and not afraid to test new approaches

Superstar Differentiators

🚀 **** Event sourcing or temporal modeling: You’ve worked with immutable event logs, change data capture, slowly changing dimensions, or similar patterns and understand why they matter for auditability and time-series analysis.

🚀 AI/LLM curiosity in practice: You’ve experimented with AI-assisted development, prompt engineering, or agentic workflows, not just talked about it.

🚀 You translate in both directions flawlessly: C-level language → technical specs, AND technical constraints → business implications

🚀 You obsess over operational excellence: you see patterns across projects and ask "how do we standardize this?"

What We Offer

• Competitive base salary (aligned to seniority; this is a newly created role)
• 4 weeks vacation year one, 5 weeks thereafter
• RRSP contribution after 3 months
• On-site chef: three-course lunches for $12
• Stock options in a post–Series A high-growth AI company
• Define delivery standards for enterprise AI

We care about capability and curiosity, not résumé perfection. You might not be ticking every box? Apply anyway! 🚀Passion and curiosity go a long way!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.