Overview
Hybrid
Depends on Experience
Contract - W2
Skills
Data Engineering
Computer Science
Customer Relationship Management (CRM)
Marketing Automation
Information Systems
Investment Management
Marketing
Marketing Analytics
Dashboard
Data Architecture
FOCUS
Good Clinical Practice
Google Cloud Platform
Amazon Web Services
Analytics
Cloud Computing
Collaboration
Communication
Return On Investment
Snap Logic
Snow Flake Schema
Microsoft Azure
Privacy
Project Management
Python
Regulatory Compliance
Job Details
Overview
We are seeking a highly skilled Data Architect Marketing Analytics with deep experience in marketing analytics, marketing technology applications, and end-to-end marketing data lifecycles. The ideal candidate will bring technical expertise in data architecture, data pipelines, and analytics solutions, combined with the ability to partner cross-functionally with business stakeholders, marketing teams, and product managers. Experience in the real estate investment management (REIM) sector is highly desirable.
Required Qualifications:
- Bachelor s or master s degree in computer science, data engineering, information systems, or a related field.
- Experience in data architecture with a focus on marketing analytics.
- Strong hands-on experience with Snowflake, SnapLogic, dbt, and Python.
- Deep understanding of marketing data lifecycle and related applications (CRM, marketing automation, AdTech, CDPs, etc.).
- Proven ability to work cross-functionally with marketing and business teams to deliver data-driven insights.
- Strong communication, collaboration, and project leadership skills.
- Experience in Real Estate Investment Management (REIM) or real estate-related marketing applications.
- Familiarity with campaign tracking, multi-touch attribution, marketing performance dashboards, and ROI analysis.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of data privacy regulations and compliance in marketing data (GDPR, CCPA, etc.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.