Sr. Marketing Tech Engineer

WHAT WE DO MATTERS:

At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success.

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 → 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 → production deployment cycles, QA validation, and release workflows

SKILLS EXPERIENCE

Required

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 wit…