Marketing Data Architecture & Automation Engineer

• Design, build, and maintain the data architecture connecting FNBO's enterprise data environment to marketing execution platforms — with Snowflake as the foundational data layer and ZMP as the primary digital activation platform.
• Own the technical integration between Snowflake and ZMP — including data flows, audience construction, and activation pipelines — ensuring data moves intelligently between environments at the right time.
• Develop and maintain Snowflake views and data structures optimized for marketing use cases, collaborating with Data Engineering and IT to ensure marketing needs are well-represented in enterprise architecture decisions.
• Support and participate in cross-functional data and technology conversations alongside the Sr. Manager — advocating for marketing data requirements and translating business needs into sound technical solutions.

• Own the design, development, and ongoing optimization of automated marketing data workflows — including data outputs and criteria-driven processes that support campaign execution at scale.
• Drive new automation approaches that increase the speed, accuracy, and efficiency of marketing data operations.
• Ensure all automated workflows include appropriate controls, monitoring, and documentation to support operational reliability and compliance.
• Proactively identify opportunities to reduce manual effort and improve data output standards and delivery consistency across all marketing channels.

• Lead the technical onboarding and integration of acquisition data platforms — including requirements definition, data mapping, and implementation execution.
• Drive Snowflake-based changes supporting acquisition data flows within ZMP for digital and Naehas for direct mail, ensuring data is accessible, accurate, and activation-ready.
• Ensure acquisition data quality, coverage, and compliance standards are met and continuously monitored.
• Collaborate with the Sr. Manager and cross-functional partners to evaluate new acquisition capabilities and serve as the internal SME on how acquisition data integrates with the broader marketing data strategy.

• Ensure the team consistently leverages the full technical capabilities of ZMP — including audience construction, activation, and data connectivity — to support acquisition and existing customer engagement goals.
• Translate complex business requirements into scalable technical solutions, audience strategies, and data outputs that advance personalization and multi-channel execution.
• Support pricing and criteria framework accuracy by ensuring underlying data structures remain current and aligned to product strategy.
• Proactively surface data-driven insights and recommendations to the marketing strategy team — thinking beyond the immediate ask.

• Build and maintain strong working relationships with Data Engineering, IT, Marketing Technology, Compliance, and external partners to drive alignment on marketing data initiatives.
• Represent Marketing Engineering in technology planning sessions and data roadmap discussions — connecting technical capabilities to marketing business outcomes.
• Collaborate with the Marketing Technology team on the ZMP vendor relationship, contributing data strategy and integration expertise to maximize platform effectiveness.
• Contribute as a strong technical resource within the Marketing Engineering team — sharing knowledge, upholding technical standards, and supporting the growth of colleagues.

• Ensure all data handling, workflow automation, and marketing data activities adhere to applicable regulatory requirements and FNBO's data governance standards.
• Maintain clear, current documentation of data flows, output specifications, platform integrations, and system dependencies.
• Build and uphold appropriate controls and monitoring across all marketing data functions.
• Uphold data privacy and security standards across all acquisition and customer data touchpoints.

• Bachelor's degree in Information Systems, Computer Science, Marketing Technology, Business, or a related field.
• 5+ years of experience in marketing technology, data engineering, marketing operations, or a closely related discipline.
• Advanced, hands-on SQL proficiency — demonstrated ability to independently write and optimize complex queries.
• Working proficiency in Python for data processing and automation.
• Demonstrated experience working with Snowflake or a comparable cloud data platform.
• Hands-on experience with an enterprise marketing platform or CDP — including audience construction, data connectivity, and activation.
• Experience designing or maintaining automated data workflows, marketing data outputs, or criteria-driven marketing automation.
• Strong understanding of data governance, data quality, and compliance considerations in a regulated industry.
• Demonstrated ability to serve as a subject matter expert and technical resource within a collaborative team environment.

• Experience with Zeta Marketing Platform (ZMP) or a comparable enterprise marketing platform.
• Experience with acquisition data platforms, data cooperatives, or third-party data providers.
• Background in credit cards, consumer lending, or financial services.
• Familiarity with AI or agent-based capabilities within data or marketing platforms.
• Experience contributing to or leading platform onboarding, migration, or integration projects.
• Familiarity with data privacy regulations relevant to marketing (e.g., CCPA, CAN-SPAM).
• Experience working in a cross-functional environment alongside Data Engineering, IT, or Marketing Technology teams.

• Occasional travel may be required for vendor meetings or industry events.
• This role has an onsite requirement of at least 3 days per week.

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This role may have a specific starting pay within this range.

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

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