Blue Acorn iCi Logo

Blue Acorn iCi

Data Architect (Remote, Contract)

Posted 4 Days Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
Leads secure, scalable customer data architecture across Adobe Experience Platform and cloud environments. Designs data strategies, models, governance frameworks, ingestion and integration solutions, migrations, and real-time customer profiles. Partners with data engineers, Adobe, and clients to address data quality, security, privacy, performance, and regulatory requirements. Uses SQL, scripting, APIs, and Postman to support implementation and automation while providing technical leadership across multiple customer projects.
The summary above was generated by AI
Position Overview
The Data Architect leads the design and delivery of secure, scalable data architectures that support enterprise digital marketing and customer experience solutions. The role defines data strategy, data models, SQL-based solutions, and governance practices to unify customer information across Adobe platforms and cloud environments, enabling trusted profiles, segmentation, journeys, and campaigns.
Working closely with clients, data engineers, and cross-functional teams, this consultant evaluates source systems and data flows, designs ingestion and integration approaches, and guides implementation of Adobe Experience Platform (AEP) capabilities. The role also supports performance optimization, large-scale data migration, data quality, security, and regulatory compliance.
Location: Remote - United States
Please note this is a contract role.

 

Key Responsibilities
 
Data Strategy, Architecture & Modeling
  • 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 and collaborate with cross-disciplinary teams to resolve technical challenges and integration constraints.
Data Governance, Security & Quality
  • Apply standards and frameworks for data quality, master data management, data services, governance, modeling, security, and privacy.
  • Address applicable 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.
Adobe Experience Platform & Data Integration
  • 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, partnering 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, following technical guidelines and product constraints.
  • Plan and drive large-scale data migration, transformation, and modernization while protecting data quality, integrity, and compliance.
     

Required Skills & Experience
 
Data Architecture & Technical Expertise
  • 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 and planning or executing large-scale data migrations.
Consulting, Domain Knowledge & Education
  • Degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent experience.
  • Strong organization, verbal and written communication, and the 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 Skills & Experience
  • Real-Time Customer Data Platform (RTCDP) certification.
     

Role Expectations
  • Provide technical leadership and client-facing guidance across data architecture, modeling, integration, migration, governance, and implementation activities.
  • Partner with Adobe and customer teams to resolve complex data challenges while maintaining secure, scalable, reliable solutions aligned with business and platform requirements.

Similar Jobs

13 Minutes Ago
In-Office or Remote
6 Locations
198K-466K Annually
Senior level
198K-466K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads technical discovery and designs high-density wireless solutions for stadiums, arenas, convention centers, and other large venues. Responsibilities include RF planning, predictive modeling, site surveys, capacity planning, architecture, proposals, demonstrations, customer presentations, deployment support, and technical escalations. Partners with sales, product, services, and channel teams to deliver HPE Aruba Networking solutions and advise customers on Wi-Fi, switching, security, and venue connectivity.
Top Skills: 6 Ghz802.11Campus SwitchingDasHpe Aruba NetworkingNetwork Access ControlPacket AnalysisPoePredictive Wireless Survey ToolsPrivate CellularRfSpectrum AnalysisWi-Fi 6EWi-Fi 7
19 Minutes Ago
Remote or Hybrid
GA, United States
120K-130K Annually
Senior level
120K-130K Annually
Senior level
Solar • Renewable Energy
Lead the rebuild and modernization of the company’s data platform by designing and implementing an Azure and Databricks lakehouse. Responsibilities include managing Azure Data Factory pipelines, developing Delta Lake architectures, creating data models and transformations with SQL and Python, establishing development standards, monitoring data quality, troubleshooting performance issues, leading technical projects, and mentoring or hiring data engineering staff.
Top Skills: AirbyteAzureAzure Data FactoryCi/CdDatabricksDelta LakeEstuaryFivetranGitInformaticaMicrosoft DynamicsNetSuiteOraclePower BIPythonSAPSQLSsisUnity Catalog
23 Minutes Ago
Remote or Hybrid
41K-53K Annually
Mid level
41K-53K Annually
Mid level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Reviews and evaluates Statement of Health submissions using underwriting guidelines, customer provisions, and compliance requirements to assess risk and determine outcomes. Resolves or escalates discrepancies and security risks, manages work queues and service-level commitments, maintains accurate documentation, and provides phone and written support to customers and internal partners. The role requires strong judgment, organization, communication, analytical ability, and proficiency with Microsoft Office and approved AI tools.
Top Skills: Generative Ai ToolsExcelMicrosoft Office SuiteMicrosoft OutlookMicrosoft PowerpointMicrosoft Word

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account