Lead the end‑to‑end Marketing Data Architecture, defining scalable frameworks and data structures that enable seamless activation, analytics, and cross‑channel orchestration.
Establish and evolve Customer 360 and identity‑resolution capabilities, ensuring unified customer profiles that power personalization, targeting, and measurement across the digital ecosystem.
Architect real‑time activation and personalization pipelines, enabling event‑driven experiences, dynamic segmentation, and rapid decisioning across MarTech and AdTech platforms.
Develop analytical data models that support reporting, advanced analytics, and data science, ensuring high‑quality, well‑governed datasets for stakeholders across marketing, sales, and product teams.
Integrate MarTech and AdTech ecosystem components, ensuring seamless data flow, interoperability, and aligned architecture across CDP, CRM, DSP, DMP, marketing automation, analytics, and advertising platforms.
Lead the design and expansion of cloud data platforms and lakehouse architectures, enabling scalable ingestion, transformation, storage, and activation of large‑scale marketing datasets.
Ensure privacy, compliance, and consent‑management foundations are embedded into all data flows, aligning with global regulations and internal governance standards.
Apply ML and AI techniques to power marketing use cases, such as predictive targeting, look‑alike modeling, churn prediction, content recommendations, and budget optimization.
Drive security and governance practices, ensuring data protection, role‑based access, quality controls, and consistency across the marketing technology stack.
Provide strong stakeholder leadership, partnering with marketing, product, engineering, analytics, and external vendors to shape strategy, align roadmaps, and deliver enterprise‑scale digital marketing capabilities.

Requirements

Typically 8+ years’ experience in application development or at least 6 years of experience with master’s degree.
Strong grasp of TOGAF, Zachman, or domain‑driven design.
Extensive experience in designing and developing software using Python, SQL, Scala (typically 5+ years).
Understanding of data structures, algorithms, profiling & optimization, data modeling techniques.
Strong demonstratable experience delivering component, product, and/or enterprise architecture in public cloud and/or hybrid eco-systems.
Understanding of Agile SDLC implementation in public cloud eco-system including environments management, test automation, peer review, CI/CD, resource optimization, etc.
Must have excellent communication and influential skills.

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLScaladata modelingdata structuresalgorithmsprofilingoptimizationcloud data platformsmachine learning

Soft Skills

communicationinfluential skillsstakeholder leadership

Certifications

TOGAFZachman