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Marketing Data and Analytics Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Fortune
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

About the Role

Fortune Media is building a modern, data-driven marketing technology practice from the ground up. This is an early and foundational hire on a newmartechteam — a rare opportunity to define how data flows, behaves, and is governed across our customer-facing systems.

You'llsit at the intersection of data engineering and marketing operations: designing the pipelines, definitions, and governance structures that connect Salesforce Sales Cloud and Marketing Cloud today, and that will scale into a broader CDP and ESP ecosystem over the next 12-24 months. Youwon'tjustmaintainthe systems — you'llhelparchitectwhat they become.

This role reports tothe Director of Martech & CRMand works closely with marketing,technology,editorial, events, and revenue operations stakeholders.

What You’ll Own Data Architecture & Flows
  • Design, build, andmaintaindata pipelines between Salesforce Sales Cloud, Marketing Cloudand any future ESPs, and adjacent systems (event platforms, subscription tools, analytics layers)
  • Ensure reliable and performant data syncs withinthe integration architecture between Sales Cloud and Marketing Cloud Connectand any future ESP and tools
  • Evaluate and help implement future ESP and CDP tooling, defining how data enters, moves through, and exits each system
  • Document all data flows, field mappings, and transformation logic in a centralized, accessible way
Data Governance & Definitions
  • Establish andmaintaina data dictionary:canonicaldefinitions for contacts, leads, accounts, subscribers, and audience segments across systems
  • Enforce data quality standards — deduplication rules, field validation, consent flags, suppression logic — with an eye toward a unified customer "golden record"
  • Partner with the Salesforce Developer to ensure custom objects, fields, and automations conform to governance standards
  • Champion compliance hygiene: CAN-SPAM, GDPR, and opt-in/opt-out data integrity across all marketing sends
Analytics & Measurement
  • Build andmaintainreporting frameworks for email performance, audience health, list growth, and data quality metrics
  • Surface actionable insights to marketing and revenue stakeholders — deliverability trends, segment performance, data decay, contact coverage gaps
  • Support attribution modeling and funnel reporting as Sales Cloud and Marketing Cloud mature
Stakeholder Partnership
  • Serve as the internal expert and translator between marketing operations, engineering, and business stakeholders on data questions
  • Work with the Marketing Cloud Solutions Architect on technical implementation decisions
  • Contribute to vendor evaluation and RFP processes as the team considers CDP and ESP investments
What You Bring Required
  • Demonstrated ability to solve complex, high-scale engineering problems through clean, efficient code. Strongproficiencyin at least one major programming language (e.g., Python, Go, Java) beyondbasic scripting for data manipulation.
  • System Design & Distributed Architecture:
  • Expertise in designing scalable, fault-tolerant distributed systems.
  • Deep understanding of system design trade-offs (e.g., CAP theorem, latency vs. throughput, synchronous vs. asynchronous processing) in the context of enterprise data pipelines.
  • Advanced Data Modeling:
    Beyond SQLproficiency, candidates should have a deep understanding of No

    SQL vs. Relational schemas and how tooptimizedata structures for high-performance retrieval in a CDP/CRM environment.
  • 2-6 years of experience in a data, data engineering, marketing operations, ormartech-focused role
  • Hands-on experience with Salesforce Sales Cloud and Marketing Cloud — you understand how the two systems connect and where they break
  • Fluency in SQL; ability to query, transform, andvalidatedata independently
  • Working knowledge of data governance concepts: data dictionaries, lineage, deduplication, and master data management principles
  • Experience designing ormaintainingdata integrations (APIs, connectors, ETL/ELT pipelines)
  • Strong documentation instincts — you leave systems better-understood than you found them
  • Comfortoperatingin ambiguity; this team is new and the roadmap is actively being shaped
Preferred
  • Experience with Marketing Cloud Connect and Synchronized Data…
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