Adobe Data Architect

Posted 5 Days Ago
Be an Early Applicant
5 Locations
In-Office or Remote
Expert/Leader
Information Technology
The Role
Lead customer-facing data architecture initiatives across Adobe Experience Platform and cloud environments. Design data strategies, models, governance frameworks, ingestion pipelines, real-time customer profiles, segmentation, and campaign solutions. Analyze source systems, unify disparate data, optimize query performance, automate implementations, and execute large-scale migrations while maintaining security, privacy, compliance, quality, and integrity. Collaborate with customers, engineers, and Adobe teams to translate business requirements into scalable digital marketing data solutions.
Summary Generated by Built In

As a Data Architect consultant, you will lead or support the development of advanced, secure data solutions for our innovative digital marketing platforms. Need to craft data strategy, architecture, SQL and governance for customer solutions, including end-to-end profiles, segmentation, journeys, and campaigns!

Responsibilities

Provide deep experience to build data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy. 

• Engage closely with customers to facilitate data discovery by evaluating systems and business processes. Analyze customer sources, data movement, data granularity, relationships, data format, etc. 

• Unify disparate data (e.g., sales, CRM, analytics data, etc.) to meet customers’ digital marketing use cases. Lead and develop conceptual, logical, and physical data models for multi-solution delivery. 

• Showcase and follow frameworks for data quality, define standards, master data management, data services, data governance, data modeling, tools, data security, privacy, and compliance with industry regulations (PII, PCI, HIPAA, GDPR, etc.). 

• Engage with cross-disciplinary groups and Adobe professionals to identify customer demands. Provide data layout and strategic blueprints, advocating for scalable, secure resolutions. Assume the role of a liaison to promptly tackle technical obstacles. 

• Provide solutions for growing data volumes, tools, and integrations, while aligning with customers’ objectives. 

• Deliver Adobe platform data lake and real-time customer profile to get ready for data ingestion and activation. Employ REST APIs, Postman, and basic scripting to automate and streamline the implementation and setup. 

• Develop and construct data ingestion solutions for streaming and batch processing, online and offline data within AEP. Collaborate with data engineers to develop and implement ETL/ELT pipelines for data collection and extraction. 

• Improve data query performance across platforms by tuning models and adhering to guidelines and ensure product guardrails are followed and deployed in solutions 

• Drives end-to-end data migration initiatives, transforming and migrating large-scale datasets while maintaining data quality, integrity, and compliance.

Qualifications

Degree in Computer Science, Information Systems, Data Science, or a related field or equivalent experience. 

• 10+ years of data architecture, modeling, SQL, and working with customers! 

• Expert proficiency in crafting customer-centric database models, datasets (e.g., CRM, Call Center, Marketing, Offline, Point of Sale, etc.) with relational, hierarchical (e.g., RDBMS, Columnar, Data Warehouse, BI, Document, Semantic layer modeling, Data Lakes, OLTP & OLAP, etc.). 

• Advanced skills in SQL development (e.g., functions, data transformations, arrays, joins details, stored procedures, data analysis). 

• Deep experience in translating business requirements into scalable data architecture by conducting structured analysis of data workflows and processes 

• Demonstrate outstanding organizational skills and ability to balance customer projects concurrently with strong verbal, written communication skills and previous experience with customer-facing engagements 

• Hands-on use or administration of Adobe Experience Platform (AEP) including the available AI tools 

 Deep domain expertise in one or more industries (Retail, Telecom, Healthcare, Automotive, Cloud and Streaming platforms, etc.) 

• Experience with programming languages (e.g., Python or Bash scripting) 

• Experience in planning and executing large-scale data migrations, enabling organizations to modernize systems and unlock trusted, actionable data. 

• Good to have RTCDP certification

About UsPerficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent experience
  • 10+ years of experience in data architecture, data modeling, SQL, and customer-facing work
  • Expertise designing database models and datasets across relational, hierarchical, RDBMS, columnar, data warehouse, BI, document, semantic-layer, data lake, OLTP, and OLAP environments
  • Advanced SQL development skills, including functions, data transformations, arrays, joins, stored procedures, and data analysis
  • Experience translating business requirements into scalable data architectures through structured analysis of data workflows and processes
  • Strong organizational, verbal, and written communication skills, with the ability to manage concurrent customer projects
  • Hands-on experience using or administering Adobe Experience Platform, including available AI tools
  • Deep domain expertise in at least one industry, such as Retail, Telecom, Healthcare, Automotive, Cloud, or Streaming platforms
  • Experience with Python or Bash scripting
  • Experience planning and executing large-scale data migrations
  • Real-Time Customer Data Platform certification

Perficient Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Perficient and has not been reviewed or approved by Perficient.

  • Retirement Support — Retirement offerings are positioned as robust, including a 401(k) with company match, an Employee Stock Purchase Plan, and an option for after-tax contributions (mega backdoor Roth). Eligibility details are described as clear for core benefits, supporting confidence in plan access timing.
  • Parental & Family Support — Parental benefits are described as structured, with paid maternity recovery time and paid parental leave for all new parents. Company-paid disability coverage is also highlighted, strengthening the overall family support posture.
  • Fair & Transparent Compensation — Compensation is characterized as generally market-aligned for a portion of roles, with examples of pay being viewed as fair or decent in certain contexts (such as remote or region-specific situations). Variable pay potential appears stronger in some tracks, improving perceived competitiveness for those roles.

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The Company
HQ: Saint Louis, MO
3,295 Employees
Year Founded: 1997

What We Do

Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, we bring big thinking and innovative ideas, along with a practical approach to help the world’s largest enterprises and biggest brands succeed.

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