Senior Data Warehouse Architect / Engineer with Salesforce and Marketo Experience

Company Description

EazyML, founded by Bell Labs research veterans, is an innovative leader in Transparent Machine Learning, providing cutting-edge AI/ML solutions. The company is recognized for its transformative transparent ML platform that enables actionable compliance and improved decision-making. Specializing in Transparent and Responsible AI, EazyML helps enterprises tackle challenges such as model compliance, audit reporting, and maintaining trust in dynamic business environments. Focused on sustainable automation, EazyML's platform ensures AI/ML aligns seamlessly with business processes while minimizing risks and maximizing benefits.

Role Description

We're looking for a Data Engineer to own and scale our datamart, that consists of Salesforce and Marketo as core source systems. This is a hands-on engineering role focused on data modeling, pipelines, and analytics enablement across marketing and sales. This is a full-time remote role for a Data Engineer specializing in Marketo & Salesforce. The Data Engineer will be responsible for building and maintaining data pipelines, implementing data modeling solutions, and optimizing Extract, Transform, Load (ETL) processes. Day-to-day tasks include managing data warehousing solutions, integrating Marketo and Salesforce systems, and delivering actionable insights through data analytics. The position requires close collaboration with cross-functional teams to ensure the efficient flow of data and its impact on decision-making.

• Design and maintain a Salesforce + Marketo datamart for analytics and reporting
• Build and optimize ETL/ELT pipelines feeding a cloud data warehouse
• Model core GTM entities (leads, contacts, accounts, opportunities, campaigns, attribution)
• Ensure data quality, reliability, and observability across pipelines
• Partner with Analytics, RevOps, and Engineering to deliver trusted datasets

• Strong experience as a Data Engineer and experience building data pipelines
• Deep hands-on experience with SQL and data modeling, and Data Warehousing
• Experience integrating Salesforce and/or Marketo data
• Familiarity with cloud data warehouses
• Experience with modern data stacks
• Proficiency in Extract, Transform, Load (ETL) processes
• Familiarity with Data Analytics and ability to deliver actionable insights
• Hands-on experience integrating and optimizing Marketo and Salesforce
• Proven ability to work remotely and collaborate with cross-functional teams
• Excellent problem-solving skills with a detail-oriented mindset
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field