What are the responsibilities and job description for the CDP Architect position at Rishabh RPO?
Posting title - CDP Architect
Duration- 12 months of Contract
Location - Portland, OR
ONLY W2
Qualifications :
Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience).
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, GCP).
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, GCP).
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.
