Sr. Marketing Tech Engineer

Responsibilities

• Support and manage data pipelines feeding Snowflake, Data Cloud, MCA, and CRM systems
• Collaborate with Data Engineering on integrations for vendor behavior data, customer product insights data, vendor programs, UTM parameters, and prospect scoring inputs - with direction from the Principal Marketing Architect
• Implement transformations required for Data Cloud ingestion (DMO/DLO mappings, identity stitching, behavioral tables) with support of Data Engineering
• Maintain Marketing Cloud Advanced (MCA) data activations (in Data Cloud), entry criteria, segmentation inputs, and schema alignment
• Work with external implementation partners, marketing firms, & internal teams to configure MCA objects, fields, mappings, and activation flows
• Troubleshoot MCA → CRM sync, consent flows, reporting gaps, and data discrepancies
• Build and maintain Data Cloud datasets, calculated attributes, data bundles, and ingestion rules
• Monitor data consumption and trend analysis
• Ensure data quality, completeness, and refresh reliability for vendor-facing systems
• Support the Principal Architect in standing up new data sources or schema extensions
• Build and maintain vendor data tables and logic feeding into insights for Sales, RevOps, and Marketing
• Support ingestion of awards data, web behavioral data, vendor lifecycle signals, and customer performance metrics
• Ensure data integrity for insights powering vendor communications and revenue enablement
• Manage the Enterprise Marketing Technology roadmap and backlog
• Partner with Martech Ops, Marketing, Sales, Data Science, Enterprise Engineering, and Product teams
• Participate in technical discovery, solution design, and requirements gathering
• Provide engineering support for Salesforce integrations (MCA, Pardot/MCAE, CRM)

Requirements

• 4–6+ years of data engineering, marketing technology engineering, or CRM platform engineering
• Strong SQL experience across Snowflake, Redshift, or similar cloud data warehouses
• Experience building data pipelines (Airflow, Fivetran, custom ingestion jobs, APIs, etc.)
• Experience with Salesforce ecosystem integrations: MCA, MC, Pardot, Data Cloud, or CRM
• Strong understanding of marketing data models, lead routing, segmentation, or attribution
• Ability to work across multiple systems with complex dependencies
• Excellent communication skills and ability to work with technical & non-technical partners
• Experience with API development, REST integrations, or ETL/ELT frameworks

Preferred

• Experience with Salesforce Data Cloud (DLO/DMO, identity resolution, ingestion rules)
• Experience with Marketing Cloud Advanced (MCAE/MCA)
• Experience with UTM attribution pipelines or web/app behavioral event ingestion
• Experience working with scoring engines or marketing analytics datasets
• Experience with Sercante or Salesforce SI partners
• Familiarity with Snowflake tasks, streams, or DBT
• Experience supporting CRM/MarTech platforms in enterprise environments