Adobe Experience Platform (AEP) Architect

Bounteous; India; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Bounteous is seeking an experienced data/Adobe Experience Platform architect to own end-to-end AEP solutions for India. You will shape data architectures, identity strategies, and governance while leading onshore/offshore teams and pre-sales engagements.

The role emphasizes designing ingestion, pipelines, and activation patterns across RT-CDP, AJO, and CJA, with a focus on scalable, compliant data platforms and executive-level storytelling.

Qualifications

• 10+ years in data, martech, or customer-data platform engineering/architecture.
• 4+ years hands-on Adobe Experience Platform across RT-CDP, AJO, or CJA.
• 2+ full lifecycle AEP implementations from discovery to activation and hypercare.
• 3+ years in a Solution Architect / Lead Architect role with client-facing pre-sales.
• Demonstrated enterprise-scale, multi-source, high-volume customer data programs.

Responsibilities

• Architect ingestion across batch and streaming sources with connectors and cloud-native options.
• Design data pipelines, transformation logic, and orchestration for high-volume, multi-source data.
• Establish data quality, validation, error-handling, and monitoring frameworks.
• Define schema-on-ingest mapping, dataset partitioning, and TTL/retention strategies.
• Architect integrations with downstream warehouses/lakehouses and reverse-ETL patterns.
• Lead AEP engineering teams and governance standards; contribute to CoE accelerators.
• Collaborate with CXO/CDO/stakeholders to translate business goals into AEP blueprints.

Skills

AEP Architecture

Data Modeling

SQL

Python

Spark

Cloud Data Platforms

Pre-sales

Stakeholder Management

Solution Scoping

ETL/ELT Patterns

Education

ACE – AEP

Tools

Adobe I/O

Data Distiller

Query Service

AEP APIs

Job description

Overview

Own the full Adobe data stack – RT-CDP, AJO, CJA, and 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. 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. 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.

Responsibilities & Capabilities

• 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.

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.
• 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.
• 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.

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.
• 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.

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.
• 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.