Strategic Data & Analytics Engineer
- Company
- Shift Paradigm
- Location
- Remote, Canada
- Salary
- 120 000–140 000 $/yr
- Posted
- 2026-10-06
Skills: Salesforce, Databricks, Snowflake, Hightouch, CRM, SQL, Python, PySpark, dbt, ETL, Census, JSON, REST API
About SH/FT
Shift Paradigm is an execution-led strategic consultancy that bridges the gap between enterprise strategy and technical reality. We partner with Fortune 500 brands and emerging leaders to solve the inherent complexity of modern digital marketing. As partners to the world’s leading MarTech platforms, including Adobe, Salesforce, Optimizely, and Braze, we deploy integrated experts across data analytics, marketing strategy, technology development, engineering, and revenue operations to ensure our clients’ tech stacks don't just exist, but perform.
The Role
We are seeking a forward-thinking, consultative Data & Analytics Engineer to design, build, and maintain enterprise marketing data models, ontologies, and semantic context layers. In this role, you will act as a strategic bridge between business leaders and technical execution—partnering directly with clients to understand their strategic goals and translating those business requirements into scalable, warehouse-native data infrastructure.
Beyond core data engineering, you will spearhead how our clients' data ecosystems adapt to an evolving agentic future. You will architect the semantic models and data integration patterns required to power autonomous AI agents, both native to modern cloud data platforms (such as Databricks and Snowflake) and across connected MarTech platforms (such as Salesforce, Hightouch).
What You'll Accomplish
• Consultative Requirements & Architecture: Partner with key business…
Full text and application on the employer's site.