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Adobe
Adobe
H1B Visa SponsorConsultingMarketingSoftware
Adobe is a software company whose products support creative work, digital marketing, document management, and customer experience operations. Its Creative Cloud includes widely used applications such as Photoshop, Illustrator, and Premiere Pro, while Adobe Experience Cloud brings together marketing automation, analytics, and content management tools for businesses. Adobe also develops solutions for digital asset management, generative AI, PDF workflows, and electronic signatures through products including Acrobat and Acrobat Sign. Its platforms serve organizations across sectors such as financial services, retail, and media and entertainment, as well as individual creative professionals.
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Senior Data Architect, Adobe Experience Platform

Lead secure, scalable Adobe Experience Platform data architectures for digital marketing customers. Own data modeling, ingestion, governance, integration, and real-time profile activation.

USUnited StatesCACaliforniaNYNew YorkUTUtahWAWashington
$146,800 – $263,900 / year
On-siteFull-timeSeniorEnglish RequiredData Engineer
CloudETLPythonRDBMSSQL

Description

  • Lead the design and delivery of secure, advanced data solutions for Adobe digital marketing platforms
  • Shape customer data strategy, architecture, SQL practices, and governance across profiles, segmentation, journeys, and campaigns
  • Design solutions spanning Adobe products and cloud platforms in line with enterprise data strategy
  • Guide data discovery by assessing source systems, business processes, data flows, granularity, relationships, and formats
  • Combine sales, CRM, analytics, and other data sources to support digital marketing use cases
  • Direct conceptual, logical, and physical data modeling for multi-solution implementations
  • Define frameworks covering data quality, standards, master data management, data services, governance, security, privacy, and regulatory compliance
  • Produce architecture blueprints, ERDs, data-flow diagrams, source-to-target mappings, data dictionaries, metadata catalogs, governance frameworks, guardrails, and security protocols
  • Work with customers, multidisciplinary teams, and Adobe specialists to clarify needs and remove technical obstacles
  • Create approaches for scaling data volumes, tools, and integrations
  • Coach customers and consultants on data architecture practices
  • Prepare Adobe Experience Platform data lakes and real-time customer profiles for ingestion and activation
  • Apply REST APIs, Postman, and basic scripting to automate implementation and environment setup
  • Design streaming and batch ingestion solutions within Adobe Experience Platform
  • Partner with data engineers on ETL and ELT pipelines for data collection and extraction
  • Tune data models and follow product guardrails to improve query performance

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related discipline, or equivalent experience
  • At least 10 years of experience in data architecture, data modeling, SQL, and customer-facing work
  • Expertise with customer-focused database models and datasets across relational, hierarchical, RDBMS, columnar, data warehouse, BI, document, semantic-layer, data lake, OLTP, and OLAP environments
  • Advanced SQL capability spanning functions, transformations, arrays, joins, stored procedures, and analytical work
  • Extensive experience converting business needs into scalable data architectures through structured analysis of workflows and processes
  • Exceptional organization and the ability to manage multiple customer engagements simultaneously
  • Excellent written and verbal communication skills
  • Prior experience working directly with customers
  • Hands-on Adobe Experience Platform use or administration is a preferred qualification
  • Deep expertise in at least one industry is a preferred qualification
  • Experience with Python or Bash scripting is a preferred qualification

Benefits

  • Annual Incentive Plan for short-term incentive compensation
  • Potential new-hire equity award for eligible positions
  • Comprehensive employee benefits programs
  • Reasonable accommodations available throughout the recruiting process
  • Equal employment opportunity and accessibility support

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