Adobe Experience Platform (AEP) Architect

• Own the full Adobe data stack - RT-CDP, AJO, CJA, and the underlying Experience Platform services, not a single point product. • End-to-end data lifecycle authority - from source connectors and ingestion through activation, governance, and measurement. • Pre-sales partnership with Adobe Professional Services and the India alliance team on joint pursuits and CXO conversations. • AI-augmented practice - leverage GenAI and Customer AI / Attribution AI within a Claude Preferred Services Partner. • Practice-building mandate - shape Bounteous’ AEP Centre of Excellence, accelerators, and capability roadmap for India. 1. Solution Architecture & Pre-Sales • Lead architectural discovery with CXO, CDO, Marketing, and Data Engineering stakeholders to translate business goals into AEP solution blueprints. • Visualize enterprise customer requirements into target-state data architectures spanning ingestion, profile, segmentation, journeys, and analytics. • Own technical scoping, effort estimation, and the solution narrative in RFP / RFI responses and proposals. • Partner with Adobe Professional Services / ACS and the partner alliance team on joint solutioning, co-sell, and go-to-market propositions. • Present reference architectures, data flow diagrams, and ROI / value cases at the executive level. • Define implementation roadmaps with phasing, dependencies, and risk-mitigation strategies. 2. Data Ingestion & Data Engineering • Architect ingestion across batch and streaming sources: Source Connectors, Streaming Ingestion API, Data Landing Zone, HTTP API, and Adobe / cloud-native connectors (S3, Azure Blob, GCS, Snowflake, Kafka). • Design data pipelines, transformation logic, and orchestration for high-volume, multi-source profile and event data. • Establish data quality, validation, error-handling, and monitoring frameworks (Data Hygiene, Dataset monitoring, Observability). • Define schema-on-ingest mapping, dataset partitioning, and TTL / retention strategy aligned with platform limits and cost. • Architect integrations with downstream data warehouses / lakehouses and reverse-ETL patterns where required. 3. Data Modelling, Identity & Profile • Design XDM (Experience Data Model) schemas - classes, field groups, data types, and descriptors - for both Profile and ExperienceEvent use cases. • Architect Identity Service strategy: identity namespaces, identity graph design, private graph, and identity stitching across known and anonymous profiles. • Govern the Real-Time Customer Profile: union schemas, profile enrichment, merge policies, and profile / event store sizing. • Design data governance with Data Usage Labelling & Enforcement (DULE), data governance policies, consent, and privacy (GDPR, CCPA, Adobe Privacy Service). • Establish a scalable schema governance model and naming conventions across multiple sandboxes and business units. 4. Segmentation, Audiences & Activation • Architect audience strategy: batch, streaming, and edge segmentation; segment definitions; and Audience Composition for complex cohorts. • Design computed attributes, derived datasets, and event-based audience qualification rules. • Define activation patterns to destinations - advertising, social, email, and custom destinations via Destination SDK. • Architect federated audience composition and data collaboration patterns where relevant. • Govern audience overlap, suppression logic, and consent-aware activation. 5. Adobe Journey Optimizer (AJO) • Architect orchestration of real-time and scheduled journeys across email, push, SMS, in-app, and code-based channels. • Design event-triggered (Journey) and audience-triggered (Campaign) experiences with decisioning and offer management (Offer Decisioning / Decision Management). • Define data flows between RT-CDP profile, AJO journeys, and message channels, including profile lookups and external data sources. • Govern message frequency capping, throttling, deliverability, and channel configuration. • Architect AJO B2B Edition / journeys for account-based motions where applicable. 6. Customer Journey Analytics (CJA) • Architect the CJA data view, connection, and stitching strategy across cross-channel datasets. • Design derived fields, calculated metrics, and attribution models for cross-channel journey analysis. • Define the relationship between AEP datasets, CJA connections, and downstream reporting / Workspace projects. • Govern data governance and access controls within CJA and integration with Adobe Analytics where co-existing. 7. AI / ML & Intelligent Services • Apply Customer AI (propensity / churn) and Attribution AI within AEP for predictive audience and journey use cases. • Define ML feature requirements, training data design, and the operationalisation of model scores into profiles and segments. • Architect feature engineering and integration with Data Distiller / Query Service for advanced analytics and ML preparation. 8. Technical Leadership & Governance • Lead, mentor, and review onshore / offshore AEP engineering and data teams (5-20 practitioners). • Define platform standards: sandbox strategy, schema governance, naming conventions, CI/CD for AEP configurations, and version control. • Drive performance and cost optimization: profile store sizing, dataset hygiene, query optimization, and licence-entitlement monitoring. • Participate in architecture review boards and present designs to client enterprise architecture and data-governance teams. • Contribute to Bounteous’ AEP CoE: accelerators, reference architectures, implementation playbooks, and reusable assets. Experience • 10+ years in data, martech, or customer-data platform engineering / architecture. • 4+ years hands-on Adobe Experience Platform across at least two of RT-CDP, AJO, and CJA. • At least 2 full lifecycle AEP implementations delivered (discovery through activation and hypercare). • 3+ years in a Solution Architect / Lead Architect role with client-facing pre-sales and proposal ownership. • Demonstrated experience with enterprise-scale, multi-source, high-volume customer data programs. Core AEP & Data Skills • XDM schema design, field groups, classes, identity namespaces, and union schema modelling. • Real-Time Customer Profile, Identity Service, identity graphs, and merge policies. • Data ingestion: Source Connectors, Streaming Ingestion API, Data Landing Zone, batch ingestion, and mapping. • Segmentation Service (batch / streaming / edge), computed attributes, and audience activation. • Data governance: DULE labels, policies, consent management, and Privacy Service. • Query Service / Data Distiller, SQL, derived datasets, and accelerated query / data views. • Strong SQL and at least one of Python / Spark for data engineering and transformation. • Understanding of cloud data ecosystems (Snowflake, Databricks, BigQuery, S3, Azure, GCP) and ETL / ELT patterns. Application & Integration Skills • Adobe Journey Optimizer: journeys, campaigns, channels, decisioning, and offer management. • Customer Journey Analytics: connections, data views, derived fields, calculated metrics, and attribution. • Adobe Experience Platform APIs, Adobe I/O, Destination SDK, and Source SDK for custom integrations. • Adobe Web SDK / Edge Network, Tags (Launch), and event-forwarding / server-side collection. • Integration patterns with AEM, Adobe Analytics, Adobe Target, Marketo, and Adobe Commerce. Pre-Sales & Architecture Skills • Executive stakeholder management and C-suite / CDO communication. • Solution scoping, effort estimation, and program-level sizing for large data engagements. • Risk identification, mitigation planning, and architectural decision records (ADRs). • Familiarity with Adobe partner deal-registration and co-sell motion. Skill / Domain • Adobe Certified Expert (ACE) - AEP, RT-CDP, AJO, or CJA. • Experience with AEP Edge Network, Web SDK, and server-side / event-forwarding collection. • Exposure to AJO B2B Edition and account-based journey orchestration. • Hands-on with Data Distiller for advanced SQL analytics, BI extracts, and ML feature engineering. • Experience integrating AEP with AEM, Adobe Analytics, Adobe Target, and Adobe Commerce in a unified DX stack. • Prior experience at a Global Systems Integrator (GSI), Adobe Professional Services, or Adobe Consulting Services (ACS). • Familiarity with composable CDP debates and build-vs-buy data architecture trade-offs. Understanding of data residency, sovereignty, and Healthcare Shield / privacy-regulated deployments.