AEP Data Architect Consultant
New
J
JobgetherIT Consulting
Based in United StatesFull-TimeSenior
Salary135,000 - 185,000 USD per year
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Job Details
- Experience
- 7+ years of experience in enterprise data architecture; 5+ years of experience designing data models
- Required Skills
- SQLETLNosqlData modeling
Requirements
- 7+ years of experience in enterprise data architecture, including ETL/ELT, large-scale data processing, and enterprise data strategy.
- 5+ years of experience designing data models across relational, dimensional, columnar, and big data environments.
- Hands-on experience with Adobe Experience Platform, including XDM schema design and identity resolution strategies.
- Strong knowledge of SQL, NoSQL databases, enterprise data warehousing, and cloud data architecture.
- Experience designing customer-focused datasets integrating CRM, marketing, call center, point-of-sale, and offline data sources.
- Strong understanding of DataOps practices, enterprise data governance, GDPR/CCPA compliance, and data quality frameworks.
- Ability to review architecture documents, solution designs, and technical specifications while providing strategic recommendations.
- Proven experience mentoring technical teams and guiding complex enterprise initiatives.
- Strong requirements gathering, analytical thinking, and communication skills.
- Experience managing consulting engagements, defining project scope, and aligning client expectations with delivery outcomes.
Responsibilities
- Lead client discovery sessions to understand business objectives, technical requirements, project scope, and stakeholder expectations.
- Provide strategic consulting on Adobe Experience Platform adoption, enterprise data strategy, and scalable solution architecture.
- Assess existing data ecosystems and recommend architecture improvements aligned with business goals and customer experience initiatives.
- Design and validate enterprise data architectures, XDM schemas, identity resolution approaches, and customer data models.
- Guide data lifecycle strategies including ingestion, ETL/ELT processes, transformation, governance, quality management, and data optimization.
- Support Customer 360 initiatives through effective SQL, NoSQL, and enterprise data modeling approaches.
- Review technical designs, architecture documentation, and implementation plans to ensure alignment with industry best practices.
- Mentor data architects, engineers, and cross-functional teams by providing technical leadership and architectural oversight.
- Collaborate with engineering teams, data scientists, and delivery specialists to enable scalable data workflows and machine learning initiatives.
- Manage multiple client engagements while maintaining project governance, documentation quality, and delivery excellence.
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