Senior Lead Analytics Engineer of Marketing Technology

About the Role

Key Responsibilities

• Partner with the ops ingestion team to build and maintain scalable, efficient data pipelines using Microsoft Fabric and modern ELT tools.
• Design and implement relational data models that accurately represent business entities and their relationships, such as leads, campaigns, touchpoints, and conversions, across multiple marketing platforms.
• Normalize and structure data to reduce redundancy, improve query performance, and ensure consistency across reporting layers.
• Align data models with the Medallion architecture (Bronze, Silver, Gold layers) to support progressive refinement and analytics readiness.
• Integrate and transform data from Salesforce, Marketo, Adobe, and web analytics platforms into a unified, self-service reporting model that supports cross-channel insights and attribution.
• Ensure data accuracy, consistency, and availability across analytics platforms, with the ability to reverse engineer source applications for quality control and user acceptance testing.
• Develop intuitive dashboards and reports that support marketing and sales decision-making.

Requirements

• Experience designing, building, and optimizing scalable data infrastructure and analytics solutions.
• Strong knowledge of relational data modeling and architecture, especially within a Medallion architecture framework.
• Proficiency with tools such as Microsoft Fabric, Power BI, dbt, and modern ELT pipelines.
• Experience working with marketing platforms like Salesforce Marketing Cloud, Marketo, Adobe Marketing Suite, and web analytics tools.
• Ability to transform and normalize data to support reporting, analytics, and self-service exploration.
• Strong understanding of data quality, consistency, and validation processes.

Nice to Have

• Experience with cross-channel marketing attribution.
• Knowledge of data modeling best practices for marketing and sales data.

Qualifications

• Experience in data engineering, analytics, or related roles.
• Proficiency with data modeling and architecture frameworks.
• Hands-on experience with Microsoft Fabric, Power BI, dbt, and ELT tools.
• Experience working with marketing automation and analytics platforms.

Benefits & Perks

• Flexible work environment.
• Opportunity to work at a leading technology company focused on innovation and impact.