AEP Data Architect Consultant

• Successfully manage multiple client engagements while balancing competing priorities and maintaining project governance.
• Contribute reusable templates, playbooks, frameworks, and Center of Excellence initiatives that strengthen the Adobe consulting practice.
• Develop client-facing documentation, presentations, architecture recommendations, and implementation guidance.
• Maintain accurate project documentation, workload estimates, and project tracking throughout engagements.

• Stay current on Adobe Experience Platform capabilities, Azure cloud technologies, and emerging enterprise data architecture trends.
• Identify opportunities to improve delivery methodologies and recommend innovative solutions that address evolving client needs.
• Continuously expand technical expertise while contributing knowledge and best practices across the consulting organization.

• 7+ years of experience in enterprise data architecture with expertise in 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.
• Experience working with Adobe Experience Platform (AEP), including XDM schema design and identity resolution strategies.
• Strong expertise in SQL, NoSQL, enterprise data warehousing, and cloud-based data architecture.
• Experience designing customer-centric datasets spanning 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.
• Experience reviewing technical architecture documents, solution designs, and data models while providing strategic recommendations.
• Proven ability to mentor technical teams and provide architectural guidance across complex enterprise initiatives.
• Strong business requirements gathering and structured analysis skills, with the ability to communicate technical concepts to both technical and non-technical audiences.
• Demonstrated ability to manage engagement scope, govern project boundaries, and align client expectations to defined deliverables.
• Exceptional organizational skills with the ability to manage multiple concurrent client engagements in a fast-paced consulting environment.
• Self-managed, proactive, customer-focused, and capable of delivering high-quality work independently.

• Experience with Azure cloud data platforms.
• Experience with Databricks data architecture.
• Familiarity with ML model management frameworks such as MLFlow.
• Experience mentoring technical teams and leading enterprise advisory engagements.
• Experience working within enterprise consulting or professional services organizations.

The base salary range for this position is $135,000 – $185,000 annually .

Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.