Responsibilities

• 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

Requirements

• 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
• 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
• Advanced Data Modeling: deep understanding of NoSQL vs. Relational schemas and optimization for high-performance retrieval in a CDP/CRM environment

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

Benefits

• 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