{"id":4332066,"url":"https://alion.io/job/dentsu-data-architect-product-modernization","title":"Data Architect, Product Modernization","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":98,"ghost_share":0.01,"stale_share":0.776,"repost_share":0.031,"time_to_fill_p50_days":31,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":113000,"max":158750,"currency":"USD","period":"year","gross":null,"usd_annual":158750},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Master Data Management","optional":false},{"name":"Postman","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-11-15T07:34:38Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Job Description:\nReady to help shape what’s next in Adobe?\nJoin Merkle’s Adobe Practice and help enterprise brands modernize the data foundations behind their digital experiences. This is an opportunity to tackle complex transformation challenges, influence future-state architecture, and build scalable solutions across Adobe Experience Platform, Analytics, Content, and Commerce.\nWe are seeking an experienced Data Architect to lead the design and delivery of product modernization initiatives for enterprise customers migrating legacy Adobe solutions to modern platforms across Analytics, Content, and Commerce domains.\nYou will architect and operationalize the end-to-end data foundations that power our customers' digital marketing, content, and commerce ecosystems - spanning data strategy, modeling, integration, and governance across Adobe Experience Platform, content operations, CRM systems, and commerce applications.\nAs an enterprise data architecture, you'll design the schemas, pipelines, and governance frameworks behind secure, scalable solutions that support unified profiles, segmentation, journey orchestration, and campaign activation for our customers.\nWhat You'll Do\nProvide deep experience to build data solutions across multiple Adobe products and cloud platforms aligned with enterprise data strategy.\nEngage closely with customers and Adobe team to facilitate data discovery by evaluating systems and business processes. Analyze customer sources, data movement, data granularity, relationships, data format, etc.\nUnify 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.\nShowcase 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.).\nEngage 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.\nProvide solutions for growing data volumes, tools, and integrations, while aligning to customers’ objectives.\nDeliver 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.\nDevelop 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.\nImprove data query performance across platforms by tuning models and adhering to guidelines and ensure product guardrails are followed and deployed in solutions\nDrives end-to-end data migration initiatives, transforming and migrating large-scale datasets while maintaining data quality, integrity, and compliance.\nAudit existing Adobe solutions to establish current state baseline and identify technical debt, governance gaps, and data quality issues.\nAssess platform maturity: evaluate taxonomy consistency, content metadata tagging practices and standards compliance, and commerce product data enrichment levels; flag redesign opportunities prior to modernization.\nIdentify platform-specific reconciliation and integration points and document data consistency requirements.\nUnify disparate data sources (CRM, call center, marketing, sales, content operations, commerce/order data) to meet customers' digital marketing, content, and commerce use cases within a single AEP foundation.\nMap legacy platform infrastructure to AEP schemas and CJA data views; determine what migrates directly, what requires transformation, and what should be redesigned for improved governance and cross-domain insights.\nDesign AEP data models (conceptual, logical, physical) across Analytics, Content, and Commerce domains-including event schemas, entity relationships, attribute hierarchies, identity resolution, content asset structures, and product data models.\nDevelop relational and dimensional data models for analytics spanning multiple customer datasets (CRM, marketing, offline, point-of-sale, content, commerce) across RDBMS, columnar, data warehouse, and data lake environments.\nArchitect AEP data ingestion pipelines (streaming, batch, online, offline) across Analytics, Content, and Commerce data sources; collaborate with data engineers to build automated ETL/ELT workflows maintaining data freshness and quality.\nSupport end-to-end modernization migrations, preserving metric definitions, historical accuracy, content governance, and commerce data integrity through transition phases.\nDevelop validation and reconciliation documentation for legacy-vs-modern platform comparisons in pilot and production\nCore Requirements\n8+ years of hands-on data architecture, data modeling, SQL development, and analytics platform experience working with enterprise customers.\nExpert 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.).\nDemonstrated experience auditing, assessing, and documenting data components of implementations; ability to translate complex data configurations and data models into clear business requirements and technical documentation.\nAdvanced SQL skills including window functions, complex joins, aggregations, stored procedures, and query optimization for analytics workloads.\nHands-on experience with Adobe Experience Platform (AEP), including data ingestion, schema design, unified profiles, segmentation, real-time activation workflows, and native AI tools.\nKnowledge of identity resolution, data privacy frameworks, and consent management in a multi-domain context.\nProficiency in API-first integration patterns (REST, webhooks, Postman) and basic scripting (Python or Bash) for data pipeline automation and validation.\nExcellent written and verbal communication and strong organizational skills; proven ability to balance concurrent customer engagements and distill complex architectures and migration strategies for executive and technical audiences.\nDegree in Computer Science, Information Systems, Data Science, or related technical field; equivalent work experience in a senior data architecture role considered.\nNice to Have\nAdobe Certified Expert (ACE) in CJA or AEP Data Architect.\nAdobe Certified Associate (ACA) in Real-Time Customer Data Platform or Analytics.\nHands-on experience with Adobe Experience Platform for Content or Commerce (Content Hub, Commerce product data, personalization).\nHands-on experience with Adobe Analytics API (Report API, Admin API) for automated assessment and documentation.\nExperience with Analytics-to-CJA migration patterns, common reconciliation challenges, and metric mapping best practices.\nExperience with version control (Git) and CI/CD practices for data solution deployment.\nTrack record of presenting modernization audits and migration strategies to C-suite and line-of-business stakeholders.\nThe annual salary range for this position is $113,000 - $158,750. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.\nBenefits available with this position include:\nMedical, vision, and dental insurance,\nLife insurance,\nShort-term and long-term disability insurance,\n401k,\nFlexible paid time off,\nAt least 15 paid holidays per year,\nPaid sick and safe leave, and\nPaid parental leave.\nDentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.\nTo begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.\nAt dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.\nLocation:\nUSA - Remote - GeorgiaBrand:\nMerkleTime Type:\nFull timeContract Type:\nPermanentDentsuis committed to providingequal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex ,sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.\nDentsuis committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to  by clicking on the link to let us knowthe nature of your accommodation request and your contact information. We are here to support you.","description_format":"text","description_chars":10201,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Dental insurance","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Creative Agencies","E-commerce Marketing","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-11-15T07:34:38Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 13","filings_12m":13,"filings_prev_12m":11,"green_card_filings_12m":0,"median_offered_wage_usd":97500,"route":null,"cap_exempt":false,"checked_at":"2026-11-15T09:21:55+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":9}],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.585,"p_room":0.55,"age_days":32,"expected_fill_days":31,"reasons":["conf:0","stale_co","win:tail","comp:brand"],"computed_at":"2026-11-15T07:52:55Z"},"pay":{"stated_usd_annual":158750,"is_top_pay":false},"html_url":"https://alion.io/job/dentsu-data-architect-product-modernization","json_url":"https://alion.io/job/dentsu-data-architect-product-modernization.json","meta":{"generated_at":"2026-11-15T09:44:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":564,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":888},"rest":"https://alion.io/mcp/rest/get_company?id=888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdentsu-data-architect-product-modernization"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdentsu-data-architect-product-modernization"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdentsu-data-architect-product-modernization"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dentsu-data-architect-product-modernization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdentsu-data-architect-product-modernization"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4332066}},{"tool":"search_jobs","arguments":{"company":"dentsu.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4332066},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}