Marketing Data Architecture & Automation Engineer

At FNBO our employees are the heart of our storyand were committed to their success! Please see below the details of this career opportunity and how it fits into our organizations success.

Summary of the Job:

The Marketing Data Architecture & Automation Engineer is the technical engine behind FNBOs marketing data operations driving how marketing data is structured connected and activated across acquisition and customer management efforts. This role sits at the intersection of FNBOs enterprise data environment anchored in Snowflake and its external marketing execution ecosystem powered in the digital space by the Zeta Marketing Platform (ZMP).

While an individual contributor this role is a driver of change bringing deep technical expertise to evaluating new platforms evolving data structures and implementing new ways of working. Operating in close partnership with the Sr. Manager Marketing Engineering this role owns the execution layer: ensuring marketing data is clean current and ready to power both acquisition and customer management strategies.

A key focus is the hands-on execution of marketing data platform onboarding and ongoing evolution including acquisition capabilities within enterprise data environments and the continuous advancement of Snowflake-driven data flows within ZMP. This individual partners closely with the Sr. Manager to translate strategic direction into actionable well-structured solutions.

About This Role:

Data Architecture & Platform Integration

• Design build and maintain the data architecture connecting FNBOs 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.

Automation & Workflow Optimization

• 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.

Acquisition Platform & Data Onboarding

• 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.

Marketing Platform Enablement

• 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.

Cross-Functional Collaboration

• 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.

Governance & Compliance

• Ensure all data handling workflow automation and marketing data activities adhere to applicable regulatory requirements and FNBOs 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.

The Ideal Candidate for This Role:

Key Skills

SQL Expertise : Advanced hands-on SQL proficiency able to independently write optimize and troubleshoot complex queries in support of marketing data architecture and automation.

Python Proficiency : Working proficiency in Python for data processing automation scripting and workflow development in a marketing data context.

Snowflake Expertise : Deep working knowledge of Snowflake including views data sharing data modeling and how to leverage the platform to power marketing data use cases.

AI & Emerging Technology Awareness : Awareness of how AI and agent-based capabilities within platforms like Snowflake and ZMP can be applied to advance marketing data operations.

Marketing Technology & CDP Fluency : Strong familiarity with enterprise marketing platforms and CDPs; hands-on experience with ZMP or comparable platforms including audience construction data connectivity and activation.

Data Architecture & Modeling: Ability to design and evolve data structures that are scalable performant and purpose-built for marketing activation.

Automation & Workflow Optimization : Demonstrated experience building and optimizing automated data workflows output processes and criteria-driven marketing automation at scale.

Acquisition Data Platforms : Familiarity with acquisition data platforms data cooperatives or third-party data providers and how they integrate into a broader marketing data strategy.

Technical Translation : Skilled at bridging the gap between enterprise data infrastructure and marketing business needs translating complex requirements into actionable technical solutions.

Cross-Functional Influence: Comfortable operating as a technical advocate in conversations with Data Engineering IT and external platform partners.

Proactive Problem Solving : Solutions-oriented mindset that anticipates needs surfaces recommendations independently and drives progress with incomplete information.

Governance & Compliance Awareness : Understanding of data privacy compliance and governance requirements in a regulated financial services environment.

Communication & Documentation : Able to communicate complex technical concepts clearly to both technical and non-technical audiences; strong documentation habits.

Minimum Qualifications

Required

• Bachelors 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.

Desired

• 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.

Physical Demands

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

#IND123

Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation:

Compensation range (base pay): $81662.00-$134741.00

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.

Work Environment:

It is anticipated that the incumbent in this role will work in a hybrid capacity balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team youll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance we offer benefits to match your needs:

• Medical Dental Vision Insurance

• 401k With Matching Contributions

• Time Off Programs

• Health Savings Account (HSA)/Dependent Care

• Employee Banking

• Growth Opportunities

• Tuition Assistance

• Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: additional information regarding compensation and benefits e-mail FNBO at . To ensure you receive a response include the number of this job (listed below) in the subject line of your message.

Job number: R-

Equal Opportunity & Belonging:

FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued recognized and empowered to be their authentic selvesno matter their role or where they are in their journey.

FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.

FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC

FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)

Application Deadline:

All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.

Required Experience:

Staff IC