Marketing Data and Analytics Engineer

fortune media usa

📍 new york city united states💰 $120K–$150K/yr🕐 4mo ago🔗 workday

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.