Lead Marketing Data & Analytics Engineer

Jetson Home • North Vancouver, BC

2d

About The Position

Jetson is a rapidly growing home electrification company aiming to accelerate the transition to sustainable energy. We are building the first fully vertically integrated home electrification company, making clean energy simple, transparent, and affordable. Our mission is to transition 100 million homes across North America away from fossil fuels. Technology, automation, and data are crucial to our impact. We value individuals who are excellent at their craft, curious about new tools (including AI), and motivated to continuously improve processes. This role is critical for scaling our marketing efforts, which have grown significantly, driving sales from $20M to $100M run-rate this year and on track for $250M, with aspirations towards $1B. The marketing organization is becoming more sophisticated, encompassing performance marketing, an in-house creative studio, partnerships, and experimentation. The data layer is key to unlocking the next phase of growth. We have established a data lake using Iceberg on AWS Glue, dbt for transformation, Fivetran for ingestion, and Metabase for BI. While the core framework exists, there is significant work to refine it, fill gaps, integrate new sources, and ensure the team has access to accurate, real-time, trustworthy data. This role will own the marketing data lake end-to-end, including integrations, data modeling (bronze/silver/gold), dashboard creation, and analysis to drive decisions.

Requirements

• 5+ years of experience working on marketing, growth, or revenue data.
• Deep fluency in dbt, with experience shipping production dbt projects, understanding medallion architecture, and knowledge of testing, contracts, and model design.
• Hands-on experience with a modern data lake or warehouse stack (e.g., Iceberg, Glue, Fivetran, Metabase, or equivalents like Snowflake/BigQuery/Databricks with comparable tooling).
• Strong SQL and Python skills, with deep SQL proficiency and Python for integrations and advanced analytics.
• Experience building attribution models (understanding of last-click, MTA, MMM, and incrementality testing).
• Experience supporting experimentation at scale (e.g., geo tests, holdouts, conversion lift, incrementality).
• Proven ability to build dashboards that are actively used and provide clear insights.
• Strong focus on data quality, including testing, contracts, monitoring, and lineage.
• AI-native mindset, with experience using AI tools (e.g., Claude Code, Cursor) to enhance productivity.
• Excellent communication skills, with the ability to explain complex data concepts clearly to non-technical marketers.

Nice To Haves

• Direct experience with the Jetson stack: Iceberg, AWS Glue, Fivetran, dbt, Metabase.
• Experience with marketing-specific data sources: Meta and Google Ads APIs, HubSpot, call tracking platforms, direct mail vendor data, CTV reporting.
• Experience at a company that scaled from low nine figures to ten figures in revenue.
• Experience with identity resolution and customer data platforms.

Responsibilities

• Own the marketing data lake end-to-end, including integrations, bronze/silver/gold models, schemas, data freshness, cost management, and stakeholder contracts.
• Manage source integrations for new channels, vendors, and partnerships, including Meta and Google Ads, HubSpot, direct mail vendors, CTV platforms, call tracking, and utility/financing partners, using Fivetran connectors or custom Python scripts when necessary.
• Design and maintain attribution models for multi-touch attribution across various channels (paid, organic, direct mail, OOH, CTV, partnerships, referrals, field sales), including identity resolution across web, CRM, and offline conversions.
• Build and maintain the data infrastructure for experimentation, including assignment logging, variant tracking, and exposure data for geo holdouts, conversion lift studies, direct mail incrementality, and on-site experiments, and perform analysis to validate results.
• Develop models for LTV, conversion, and channel ROI to inform strategic investment decisions.
• Create and maintain Metabase dashboards for leadership, marketing, and sales teams to enable self-serve analytics and provide clear data insights.
• Act as the analytics partner to the Go-To-Market (GTM) team, answering questions about campaign performance, market variations, and investment opportunities with clear, data-driven insights.
• Ensure data quality through testing, contracts, monitoring, and lineage tracking.

Benefits

• Opportunity to make a high-impact hire that will influence millions in ad spend and shape business strategy.
• Work on a greenfield data infrastructure problem with significant scope.
• Collaborate with an ambitious, technically literate marketing organization.
• The chance to contribute to a mission-driven company focused on sustainability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed