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Adobe

Senior Data Architect

Adobe

. Lead development of advanced, secure data solutions for Adobe digital marketing platforms .

Posted 9/21/2026full-timeUnited StatesSenior💰 $146,800 - $263,900 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture, SQL development, and customer-centric database modeling, with a strong focus on data governance, quality, and compliance. Proven ability to lead complex data solutions and collaborate effectively with cross-functional teams and customers.

Highest-signal resume keywords
Data ArchitectureAdvanced SQL DevelopmentCustomer-Centric Database ModelsAdobe Experience Platform (AEP)Data Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ModelingSQLData Ingestion SolutionsETL/ELT PipelinesData AnalysisData TransformationData Quality StandardsData SecurityData Governance FrameworksData Flow Diagrams
Soft Skills
Organizational SkillsVerbal CommunicationWritten CommunicationCustomer Engagement
Tools & Technologies
Adobe Experience Platform (AEP)REST APIsPostmanPythonBash Scripting
Industry Keywords
Digital MarketingData GovernanceData PrivacyData WarehouseBusiness IntelligenceData LakeOLTPOLAP

Tech Stack

Tools & technologies
CloudETLPythonRDBMSSQL

About the role

Key responsibilities & impact
  • Lead development of advanced, secure data solutions for Adobe digital marketing platforms
  • Develop data strategy, architecture, SQL, and governance for customer solutions, including profiles, segmentation, journeys, and campaigns
  • Build data solutions across Adobe products and cloud platforms aligned with enterprise data strategy
  • Facilitate customer data discovery by evaluating systems, business processes, data movement, granularity, relationships, and formats
  • Unify disparate sales, CRM, analytics, and other data sources for digital marketing use cases
  • Lead conceptual, logical, and physical data modeling for multi-solution delivery
  • Establish frameworks for data quality, standards, master data management, data services, governance, modeling, security, privacy, and regulatory compliance
  • Create architectural blueprints, ERDs, data flow diagrams, source-to-target mappings, data dictionaries, metadata catalogs, governance frameworks, guardrails, and security protocols
  • Collaborate with customers, cross-disciplinary groups, and Adobe professionals to identify needs and resolve technical obstacles
  • Develop strategies for scaling data volumes, tools, and integrations
  • Mentor customers and consultants on data architecture
  • Prepare Adobe Experience Platform data lake and real-time customer profiles for data ingestion and activation
  • Use REST APIs, Postman, and basic scripting to automate implementation and setup
  • Develop data ingestion solutions for streaming and batch processing within AEP
  • Collaborate with data engineers on ETL/ELT pipelines for data collection and extraction
  • Improve query performance through model tuning and adherence to product guardrails

Requirements

What you’ll need
  • Degree in Computer Science, Information Systems, Data Science, or a related field or equivalent experience
  • 10+ years of experience in data architecture, modeling, SQL, and working with customers
  • Expert proficiency in customer-centric database models and datasets, including relational, hierarchical, RDBMS, columnar, data warehouse, BI, document, semantic layer, data lake, OLTP, and OLAP modeling
  • Advanced SQL development skills, including functions, data transformations, arrays, joins, stored procedures, and data analysis
  • Deep experience translating business requirements into scalable data architecture through structured analysis of data workflows and processes
  • Outstanding organizational skills and ability to balance concurrent customer projects
  • Strong verbal and written communication skills
  • Previous customer-facing engagement experience
  • Hands-on use or administration of Adobe Experience Platform (AEP) is given special consideration
  • Deep domain expertise in one or more industries is given special consideration
  • Experience with Python or Bash scripting is given special consideration

Benefits

Comp & perks
  • Annual Incentive Plan (AIP) for short-term incentives
  • New hire equity award may be available for eligible roles
  • Comprehensive benefits programs
  • Reasonable accommodations during the recruiting process
  • Equal employment opportunity and accessibility support