Marketing Data Engineer

About the team:

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 comprise 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.

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 want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a team player: Working on our partners requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.

Click here to learn about what we value at Samsara. 

In this role, you will:

• Develop and maintain marketing databases, datasets, pipelines and Samsara’s Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation and analytics.
• Manage critical 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 data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data mart and CDP environments.
• Develop and improve the current data architecture, data quality, monitoring and data availability.
• Identify data needs from broad stakeholders, understand requirements for metrics and analysis, and build efficient and scalable data products to enable a data-driven marketing approach.
• Write sophisticated yet optimized data transformations in Python/SQL to generate data products consumed by customer systems and Analytics, Marketing Operations, Sales Operations teams.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 3+ years of working experience in a data engineering or data engineering adjacent role
• Excellent Python and SQL knowledge with strong hands-on data modeling 
• 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 
• Comfort in working with business customers to gather requirements and gain a deep understanding of varied datasets
• 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:

• Knowledge of Marketo, Salesforce.com and Google Analytics
• Experience working with CDPs such as 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)
• Data Science, machine learning or predictive analytics experience