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.

What You’ll Do

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

What We’re Looking For

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