AEP Data Architect Consultant

Blue Acorn iCi•,

2d•$135,000 - $185,000

About The Position

Blue Acorn iCi is looking for an AEP Data Architect Consultant to serve as a senior, customer-facing advisor at the intersection of enterprise data architecture and Adobe Experience Platform (AEP). In this role, you will partner with clients and implementation teams to assess data strategies, guide architectural decisions, and provide expert recommendations that help organizations scale and optimize their Adobe Experience Platform investments. You will serve as a trusted technical advisor, helping enterprise clients establish modern data architectures, implement governance best practices, and maximize the value of their customer data ecosystems.

Requirements

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.

Nice To Haves

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.

Responsibilities

Lead client discovery sessions to gather business and technical requirements, define project scope, and manage stakeholder expectations throughout engagements.
Provide strategic guidance on Adobe Experience Platform adoption, enterprise data strategy, and solution architecture.
Partner with clients to assess data maturity and recommend scalable architecture solutions aligned with business objectives.
Serve as a trusted advisor by translating complex technical concepts into actionable recommendations for both technical and non-technical stakeholders.
Review and validate enterprise data architectures, XDM schema designs, identity resolution strategies, activation plans, and technical specifications.
Provide recommendations across the entire data lifecycle, including data ingestion, ETL/ELT processes, transformation, governance, quality, archival, and lifecycle management.
Guide customer identity mapping and Customer 360 initiatives through effective SQL and NoSQL data modeling strategies.
Promote enterprise data governance standards and repeatable best practices across Adobe Experience Platform implementations.
Review technical design documents and architecture specifications to ensure alignment with Adobe best practices and enterprise standards.
Mentor Data Architects and cross-functional engineering teams by providing architectural oversight and technical leadership.
Collaborate with software engineering consultants, data scientists, and delivery teams to guide scalable data workflows and machine learning operationalization.
Act as the senior data architecture advisor across multiple client engagements, ensuring technical excellence throughout project delivery.
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.