Real job — pulled straight from Fortune’s careers page · Verified May 25, 2026 · No reposts.
Job description
Fortune is hiring a Marketing Data and Analytics Engineer — a full-time, based in New York, NY role ($120k–$150k). Apply directly on Fortune's careers page below.
Marketing Data and Analytics Engineer
Location: New York City
Time Type: Full time
Job Description
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 new martech team — a rare opportunity to define how data flows, behaves, and is governed across our customer-facing systems.
You'll sit 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. You won't just maintain the systems — you'll help architect what they become.
This role reports to the Director of Martech & CRM and works closely with marketing, technology, editorial, events, and revenue operations stakeholders.
What You'll Own
Data Architecture & Flows
Design, build, and maintain data pipelines between Salesforce Sales Cloud, Marketing Cloud and any future ESPs, and adjacent systems (event platforms, subscription tools, analytics layers)
Ensure reliable and performant data syncs within the integration architecture between Sales Cloud and Marketing Cloud Connect and 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 and maintain a data dictionary: canonical definitions 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 and maintain reporting 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. Strong proficiency in at least one major programming language (e.g., Python, Go, Java) beyond basic 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 SQL proficiency, candidates should have a deep understanding of NoSQL vs. Relational schemas and how to optimize data structures for high-performance retrieval in a CDP/CRM environment.
2–6 years of experience in a data, data engineering, marketing operations, or martech-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, and validate data independently
Working knowledge of data governance concepts: data dictionaries, lineage, deduplication, and master data management principles
Experience designing or maintaining data integrations (APIs, connectors, ETL/ELT pipelines)
Strong documentation instincts — you leave systems better-understood than you found them
Comfort operating in ambiguity; this team is new and the roadmap is actively being shaped
Preferred
Experience with Marketing Cloud Connect and Synchronized Data Extensions
Knowledge of email deliverability fundamentals (sender reputation, list hygiene, ISP feedback loops)
Exposure to ESP migration or evaluation projects
Familiarity with CDP platforms (Salesforce Data Cloud, Segment, or similar) preferred
Salesforce certification (e.g., Marketing Cloud Email Specialist, Administrator, or Data Cloud) preferred
Experience in a media, publishing, or subscription business preferred
The Stack (Today)
CRM: Salesforce Sales Cloud
Marketing Automation: Salesforce Marketing Cloud
Integration: Marketing Cloud Connect
On the roadmap: CDP evaluation and integration, ESP consolidation/migration
Compensation: $120-$150K + 10% target bonus
Location: New York, NY — hybrid schedule
A Few Of Fortune’s Perks And Benefits
20 vacation days and 2 personal days on top of 11 company holidays and an honour-based sick leave policy
Health, dental, and vision coverage (90% paid for individuals and families), along with flexible spending accounts where Fortune contributes to your HSA
401(k) plan
Generous parental leave
Dependent care, commuter, and cell phone benefits
Tuition reimbursement program
A commitment to an open, inclusive, and diverse work culture
Why Fortune
Fortune is one of the world's most recognized business media brands — and we're in an active, well-resourced period of rebuilding our technology and data foundations. This role offers unusual scope: you'll work on problems that matter to the business, with visibility to senior leadership, on a team where your contributions are directly traceable to outcomes.
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Frequently asked questions
What is the salary for Marketing Data and Analytics Engineer at Fortune?
The estimated salary range for Marketing Data and Analytics Engineer at Fortune is $120,000 - $150,000 USD per year.
What skills are required for Marketing Data and Analytics Engineer at Fortune?
The required skills for Marketing Data and Analytics Engineer at Fortune include: Python, Go, Java, SQL, API, Salesforce, ETL.
What is the seniority level for Marketing Data and Analytics Engineer at Fortune?
Marketing Data and Analytics Engineer at Fortune is a Mid Level / Senior level position.
How do I apply for Marketing Data and Analytics Engineer at Fortune?
You can view the full description and apply for Marketing Data and Analytics Engineer at Fortune on EchoJobs: https://echojobs.io/job/fortune-marketing-data-and-analytics-engineer-oh8a9.