Posting title CDP Architect
Duration 12 months of Contract
Location Portland OR
ONLY W2
Qualifications:
Bachelors degree in computer science Information Technology or a related field (or equivalent work experience).
Key Responsibilities:
Data Architecture and Strategy:
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Develop and lead the implementation of data architectures that leverage the capabilities of a Customer Data Platform (CDP) especially Amperity
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Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
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Design data strategies that address data integration identity resolution data quality and data governance.
CDP Implementation:
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Guide the implementation of the CDP platform including data onboarding configuration and testing.
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Ensure seamless integration of the CDP with other marketing technologies and systems.
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Provide ongoing support and maintenance for the CDP implementation.
Customer Success:
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Educate clients and internal stakeholders on best practices for utilizing the CDP to achieve their marketing goals.
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Monitor and analyze CDP performance to identify areas for improvement and optimization.
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Proactively identify and address potential challenges.
Technical Expertise:
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Deep understanding of data warehousing data integration and data modeling principles.
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Familiarity with cloud computing platforms (e.g. AWS Azure GCP).
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Experience with ETL/ELT processes and data quality tools.
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Knowledge of marketing automation platforms and other relevant technologies.
Qualifications:
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Bachelors degree in computer science Engineering or a related field.
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5 years of experience in data architecture data engineering or a related field.
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Proven experience with CDP platforms.
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Strong analytical and problemsolving skills.
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Excellent communication and interpersonal skills.
Bonus Points:
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Experience with AI/ML techniques and their application to customer data.
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Knowledge of specific industries or verticals.
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Relevant certifications (e.g. AWS Azure GCP).
Key Skills:
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Data Modeling and Architecture: Designing and implementing data models data warehouses and data lakes.
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Data Integration: Integrating data from various sources including CRM marketing automation website analytics and social media.
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Identity Resolution: Matching and linking customer data across different channels and devices.
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Data Quality: Ensuring the accuracy completeness and consistency of customer data.
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Data Governance: Establishing and enforcing data policies and procedures to ensure data security and compliance.
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Technical Proficiency: Expertise in SQL scripting languages (Python R) and data visualization tools.
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Communication and Collaboration: Effectively communicating technical concepts to both technical and nontechnical audiences.