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Senior Marketing AI Data Engineer

1 hour, 46 minutes ago
Canada
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
CRM Databricks dbt Domo Feature Engineering Generative AI Google Analytics Kubeflow LLM Looker Mixpanel MLflow MLOps Python Segment Snowflake SQL Tableau
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Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 344

Description

  • Architect and maintain marketing databases, datasets, pipelines, and the Customer Data Platform to support segmentation, targeting, automation, and analytics.
  • Design and implement data infrastructure for AI/ML initiatives, including pipelines for Generative AI applications, feature stores, and vector database integrations.
  • Support conversational BI and Ambient AI initiatives within the marketing organization in partnership with the BI team.
  • Automate manual marketing tasks using AI to improve efficiency across the organization.
  • Manage high-volume data pipelines, including service-level agreements, efficiency improvements, and data quality.
  • Facilitate data integration and transformation between applications and ensure interoperability across data mart, AI models, and CDP environments.
  • Partner with Marketing, Sales, and Ops stakeholders to translate business questions into technical requirements and scalable data solutions.
  • Write optimized Python and SQL transformations to generate data products used by customer systems and internal operations teams.
  • Mentor junior engineers, conduct code reviews, and help define team best practices.

Requirements

  • 5+ years of experience in a data engineering or closely related role.
  • Expert-level Python and SQL skills with strong hands-on data modeling experience.
  • Experience engineering data pipelines for AI/ML workloads, including unstructured data preparation for LLMs, vector stores, or feature engineering pipelines.
  • Experience building and scaling RAG infrastructure, including vector database integrations and data-to-embedding pipelines for LLM applications.
  • Deep experience with data warehouse architectures, ETL/ELT processes, and reporting or analytics tools.
  • Hands-on experience with modern data technologies such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake, or similar tools.
  • Ability to lead requirements-gathering sessions independently and bridge business needs with technical implementation.
  • Experience having exploratory conversations with stakeholders to identify automation opportunities across marketing.
  • Familiarity with customer, marketing, and/or web data.
  • Experience integrating data from Sales and Marketing platforms such as marketing automation systems, CRM platforms, and web analytics tools.
  • Self-starter who is motivated, responsible, innovative, and able to work independently and collaboratively.
  • Strong communication and project management skills for working with technical and non-technical audiences.
  • Experience with Databricks is preferred.
  • Knowledge of Marketo, Salesforce.com, and Google Analytics is preferred.
  • Experience with CDPs such as Hightouch, Segment, Lattice, Blueshift, Lytics, or Adobe Real-time CDP is preferred.
  • Experience with data visualization tools such as Looker, Domo, Tableau, or Mixpanel is preferred.
  • Familiarity with MarTech stacks is preferred.
  • Experience with MLOps tools and principles, such as MLflow, Kubeflow, and production model deployment, is preferred.

Benefits

  • Annual base salary of CAD $119,000 to $154,000.
  • Above-market total compensation, including base salary, performance-based bonus or variable pay, and equity for eligible roles.
  • Flexible, employee-led remote work model.
  • Comprehensive health plans.
  • Parental leave plans.
  • Professional development stipend.
  • Opportunity to earn above-market compensation for top performance.

Interested in this position?

Apply directly on the company website

Apply Now

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