Job Description :

- 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 (520 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.