Marketing Data and Analytics Engineer

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.

• 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

• 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

• 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

• 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

• 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 No
  
  SQL 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.

• Experience with…