Senior Marketing AI Data Engineer

About the role:

Data and Analytics is a critical team within Marketing. Our mission is to enable revenue performance by providing marketing and sales teams with the insights, tools, infrastructure and consultation to make data-driven decisions. We are a scrappy and growing team that loves all things data! The team will be composed of data engineers, analytics managers and data scientists. We are passionate about leveraging world-class data and analytics to deliver a great customer experience.Our team promotes an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged.

This role is open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Architect and maintain complex marketing databases, datasets, pipelines and Samsara’s Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation and analytics.
• Design and implement data infrastructure for AI/ML initiatives, including building pipelines for Generative AI applications, feature stores, and vector database integrations to support predictive modeling and personalization.
• Support the execution of expanding conversational BI and Ambient AI within the marketing organization in partnership with the BI team.
• Support in the automation of many manual tasks through the use of AI leading to efficiency gains for the whole marketing organization.
• Manage critical, high-volume data pipelines to enable our growth initiatives and advanced analytics. Manage the SLAs for those data pipelines and constantly improve efficiency and data quality.
• Facilitate sophisticated data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data mart, AI models, and CDP environments.
• Autonomously partner directly with non-technical stakeholders (Marketing, Sales, Ops) to translate ambiguous business questions into technical requirements and scalable data solutions without needing constant supervision.
• Write sophisticated yet optimized data transformations in Python/SQL to generate data products consumed by customer systems and Analytics, Marketing Operations, and Sales Operations teams.
• Mentor junior engineers, conduct code reviews, and help define best practices for the data engineering team.

Minimum requirements for the role:

• 5+ years of working experience in a data engineering or data engineering adjacent role.
• Expert Python and SQL knowledge with strong hands-on data modeling experience.
• Proven experience engineering data pipelines for AI/ML workloads (e.g., preparing unstructured data for LLMs, working with vector stores, or building feature engineering pipelines).
• Proven experience building and scaling RAG (Retrieval-Augmented Generation) infrastructure, including managing vector database integrations and data-to-embedding pipelines for LLM applications.
• Deep experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
• Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions.
• Demonstrated ability to lead requirement gathering sessions independently, bridging the gap between business needs and technical implementation.
• Has demonstrated the ability to have exploratory conversations with stakeholders to understand further opportunities for automation across marketing.
• Familiarity with customer, marketing and/or web data.
• Experience integrating data from core Sales and Marketing platforms (e.g. Marketing Automation, CRM, and web analytics).
• Self-starter, motivated, responsible, innovative and technology-driven individual who performs well both independently and as a team member.
• A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non-technical audiences.

An ideal candidate also has:

• Experience working with Databricks.
• Knowledge of Marketo, Salesforce.com and Google Analytics.
• Experience working with CDPs such as Hightouch, Segment, Lattice, Blueshift, Lytics or Adobe Real-time CDP.
• Experience with data visualization tools and packages (e.g. Looker, Domo, Tableau, MixPanel).
• Familiarity with Marketing Technologies (MarTech stacks).
• Experience with MLOps principles and tools (e.g., MLflow, Kubeflow) and deploying models into production environments.

Originally posted on Himalayas