CDP Architect

Job Title: CDP Architect

Location: Portland, OR

Duration: 12+ Months

Interview Mode: Phone & Skype

Please share resume with rate expectation at .

Requirements:

Key Responsibilities:

• Data Architecture and Strategy:
• Develop and lead the implementation of data architectures that leverage the capabilities of a Customer Data Platform (CDP) especially Amperity
• Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
• Design data strategies that address data integration, identity resolution, data quality, and data governance.
• CDP Implementation:
• Guide the implementation of the CDP platform, including data onboarding, configuration, and testing.
• Ensure seamless integration of the CDP with other marketing technologies and systems.
• Provide ongoing support and maintenance for the CDP implementation.
• Customer Success:
• Educate clients and internal stakeholders on best practices for utilizing the CDP to achieve their marketing goals.
• Monitor and analyze CDP performance to identify areas for improvement and optimization.
• Proactively identify and address potential challenges.
• Technical Expertise:
• Deep understanding of data warehousing, data integration, and data modeling principles.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform).
• Experience with ETL/ELT processes and data quality tools.
• Knowledge of marketing automation platforms and other relevant technologies.

Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field.
• 5+ years of experience in data architecture, data engineering, or a related field.
• Proven experience with CDP platforms.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Bonus Points:

• Experience with AI/ML techniques and their application to customer data.
• Knowledge of specific industries or verticals.
• Relevant certifications (e.g., AWS, Azure, Google Cloud Platform).

Key Skills:

• Data Modeling and Architecture: Designing and implementing data models, data warehouses, and data lakes.
• Data Integration: Integrating data from various sources, including CRM, marketing automation, website analytics, and social media.
• Identity Resolution: Matching and linking customer data across different channels and devices.
• Data Quality: Ensuring the accuracy, completeness, and consistency of customer data.
• Data Governance: Establishing and enforcing data policies and procedures to ensure data security and compliance.
• Technical Proficiency: Expertise in SQL, scripting languages (Python, R), and data visualization tools.
• Communication and Collaboration: Effectively communicating technical concepts to both technical and non-technical audiences.