Marketing Data and Systems Analyst Engineer Job at Fortune in New York
Fortune, New York, NY, United States
About the Role Fortune Media is building a modern, data‑driven marketing technology practice from the ground up. This early and foundational hire on the new martech team is a rare opportunity to define how data flows, behaves, and is governed across our customer‑facing systems.
Responsibilities Design, build, and maintain data pipelines between Salesforce Sales Cloud, Marketing Cloud, and future ESPs, as well as other systems such as event platforms, subscription tools, and analytics layers.
Ensure reliable and performant data syncs within the integration architecture between Sales Cloud and Marketing Cloud Connect and any future ESPs 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 with 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.
Qualifications Demonstrated ability to solve complex, high‑scale engineering problems through clean, efficient code. Strong proficiency in at least one major programming language (Python, Go, or Java).
Expertise in designing scalable, fault‑tolerant distributed systems and understanding system design trade‑offs (CAP theorem, latency vs. throughput, synchronous vs. asynchronous).
Advanced data modeling: 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—understanding 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, as the 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).
Salesforce certification (Marketing Cloud Email Specialist, Administrator, or Data Cloud).
Experience in a media, publishing, or subscription business.
Technical 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 & Location Base salary $120,000–$150,000 with 10% target bonus.
Location: New York, NY (hybrid schedule).
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) with flexible spending accounts and HSA contributions.
401(k) plan.
Generous parental leave.
Dependent care, commuter, and cell phone benefits.
Tuition reimbursement program.
Commitment to an open, inclusive, and diverse work culture.
Why Fortune Fortune is one of the world’s most recognized business media brands. 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 and direct traceable impact.
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Responsibilities Design, build, and maintain data pipelines between Salesforce Sales Cloud, Marketing Cloud, and future ESPs, as well as other systems such as event platforms, subscription tools, and analytics layers.
Ensure reliable and performant data syncs within the integration architecture between Sales Cloud and Marketing Cloud Connect and any future ESPs 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 with 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.
Qualifications Demonstrated ability to solve complex, high‑scale engineering problems through clean, efficient code. Strong proficiency in at least one major programming language (Python, Go, or Java).
Expertise in designing scalable, fault‑tolerant distributed systems and understanding system design trade‑offs (CAP theorem, latency vs. throughput, synchronous vs. asynchronous).
Advanced data modeling: 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—understanding 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, as the 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).
Salesforce certification (Marketing Cloud Email Specialist, Administrator, or Data Cloud).
Experience in a media, publishing, or subscription business.
Technical 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 & Location Base salary $120,000–$150,000 with 10% target bonus.
Location: New York, NY (hybrid schedule).
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) with flexible spending accounts and HSA contributions.
401(k) plan.
Generous parental leave.
Dependent care, commuter, and cell phone benefits.
Tuition reimbursement program.
Commitment to an open, inclusive, and diverse work culture.
Why Fortune Fortune is one of the world’s most recognized business media brands. 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 and direct traceable impact.
#J-18808-Ljbffr