ABOUT THE ROLE AND OUR TEAM: WORK MODEL:We are looking for a Sr. Marketing Tech Engineer to join our Marketing Technology organization, supporting our Martech, CRM, and Data Cloud initiatives.
This role is ideal for someone who thrives at the intersection of data engineering, marketing technology, and platform enablement, and enjoys solving complex technical problems that directly impact vendor experience, revenue growth, and marketing operations.
As part of a high-performing, cross-functional team, you will work closely with our Principal Architect, Martech Operations, Data Engineering, and Enterprise Engineering to build and maintain the technical backbone behind The Knot Worldwide's marketing platforms-including Marketing Cloud Advanced (MCA), Salesforce Data Cloud, Snowflake, UTM attribution, behavioral data ingestion, and vendor product insights and lifecycle data.
You play a key role in transforming our vendor marketing and lead lifecycle experience by ensuring the right data flows into the right systems, with the reliability and scale required to support millions of users.
This is a hands-on engineering role, not an admin or operational configuration role. You will design, build, troubleshoot, and optimize marketing and CRM data systems used across all lines of business.
RESPONSIBILITIES: Data Engineering & Platform Development- 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
Marketing Cloud Advanced (MCA) Engineering- Support 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 12; CRM sync, consent flows, reporting gaps, and data discrepancies
Data Cloud Enablement- 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
Vendor Data Enablement- 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
Cross-Functional Collaboration- 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)
Reliability, QA & Documentation- Troubleshoot data failures, ingestion errors, identity mismatches, and field mapping issues
- Write documentation, SOPs, and runbooks for data flows and platform components
- Monitor performance, ensure SLA adherence for data refresh and pipeline uptime
- Support sandbox 12; production deployment cycles, QA validation, and release workflows
SKILLS & EXPERIENCERequired- 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
This role is Together[redacted]-eligible and based near one of our office hubs. You'll be expected to work in the office
two days a week as part of our hybrid work model.
#LI-Hybrid
#professional
Starting pay is determined based on a combination of factors which may include location/market, education, experience, skills, and other qualifications of the successful candidate. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, commissions, equity or sales incentives, if applicable. We also offer benefits to eligible employees including medical, dental, retirement, and generous leave policies.
Annual salary range
$114,293-$195,930 USD
