Bounteous - AEP Architect - Adobe Journey Optimizer
Bounteous x Accolite · Gurugram · onsite · Posted 61d ago
Not disclosed10–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Sourced from foundit
Skills
Streaming ingestionSegmentation ServiceAdobe Experience Platform APIsAPI Data Landing ZoneApache SparkData ingestionadobe experience platformweb sdkeltCustomer Journey AnalyticsbigqueryIntegration patternsAdobe Journey OptimizerXDM schema designDatabricksPythonSQLData GovernanceSnowflakeETLReal-Time Customer ProfileIdentity Service
About Bounteous x Accolite
Bounteous x Accolite
IT Services & Consulting
3.8k+
employees
2003
23 years old
Hyderabad / Secunderabad, Telangana
India
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Bounteous x Accolite provides comprehensive digital transformation services, creating innovative solutions for major brands across various industries.
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