Data Architect

Blue Acorn iCi

. Design secure, scalable data solutions across Adobe products and cloud platforms aligned with enterprise data strategy and client business objectives .

Posted 11/4/2026contractRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing secure and scalable data solutions, with a strong focus on data architecture, modeling, and integration across various platforms. Proficient in managing customer data workflows and ensuring compliance with regulatory standards.

Highest-signal resume keywords

Data ArchitectureAdvanced SQL DevelopmentAdobe Experience Platform (AEP)Data Migration PlanningCustomer-Centric Database Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLData MigrationData GovernanceData QualityData LakesETL/ELTData AnalysisData WarehousingData Integration

Soft Skills

Verbal CommunicationWritten CommunicationOrganizationProject Management

Tools & Technologies

REST APIsPostmanPythonBash Scripting

Certifications & Qualifications

Real-Time Customer Data Platform (RTCDP)

Industry Keywords

RetailTelecommunicationsHealthcareAutomotiveCloudStreaming PlatformsPIIPCIHIPAAGDPR

Tech Stack

Tools & technologies

CloudETLPythonRDBMSSQL

About the role

Key responsibilities & impact

Design secure, scalable data solutions across Adobe products and cloud platforms aligned with enterprise data strategy and client business objectives
Lead customer data discovery, assessing source systems, business processes, data movement, granularity, relationships, and formats
Unify sales, CRM, analytics, and other customer data
Develop conceptual, logical, and physical data models for multi-solution delivery
Define strategic data architecture blueprints
Collaborate with cross-disciplinary teams to resolve technical challenges and integration constraints
Apply standards and frameworks for data quality, master data management, data services, governance, modeling, security, and privacy
Address regulatory and sensitive-data requirements, including PII, PCI, HIPAA, and GDPR considerations
Ensure solutions follow platform guardrails and support growing data volumes, tools, and integration needs
Build Adobe platform data lake and real-time customer profile foundations to support ingestion and activation
Design batch and streaming ingestion for online and offline data in AEP
Partner with data engineers on ETL/ELT collection and extraction pipelines
Use REST APIs, Postman, and scripting to automate implementation and configuration activities
Optimize query performance and model design across platforms
Plan and drive large-scale data migration, transformation, and modernization while protecting data quality, integrity, and compliance
Provide technical leadership and client-facing guidance across architecture, modeling, integration, migration, governance, and implementation
Partner with Adobe and customer teams to resolve complex data challenges while maintaining secure, scalable, reliable solutions

Requirements

What you’ll need

Unrestricted authorization to work in the United States without employer sponsorship now or in the future
10+ years of experience in data architecture, data modeling, SQL, and customer-facing work
Expertise designing customer-centric database models and datasets spanning CRM, call center, marketing, offline, point-of-sale, and related systems
Strong knowledge of relational and hierarchical data approaches, including RDBMS, columnar systems, data warehouses, BI, document and semantic models, data lakes, and OLTP/OLAP
Advanced SQL development skills, including functions, transformations, arrays, joins, stored procedures, and data analysis
Experience translating business requirements and data workflows into scalable architecture through structured analysis
Hands-on use or administration of Adobe Experience Platform (AEP), including available AI tools
Experience with Python or Bash scripting
Experience planning or executing large-scale data migrations
Degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent experience
Strong organization and verbal and written communication skills
Ability to balance multiple customer projects
Deep knowledge of at least one relevant industry, such as retail, telecommunications, healthcare, automotive, cloud, or streaming platforms
Preferred: Real-Time Customer Data Platform (RTCDP) certification

Benefits

Comp & perks

Medical, dental and vision insurance
Life insurance
Disability insurance
Paid time off
401(k)
Competitive benefits package (for full-time, non-temporary employees)