#DFO&I2027
Customer
The Customer Team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, GenAI, transformative technologies, and creative design. We enable Deloitte client service teams to enhance customer experience and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital product and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects, balancing business strategy, technology, creativity, and ongoing managed services to help solve the biggest problems that impact customers, partners, constituents, and the workforce. We also offer Business Process as a Service, enabling organizations to streamline operations and achieve greater efficiency through scalable, technology-enabled managed insights that guide ongoing transformation and operational excellence.
Position Summary
Level:
Consultant, Managed Services or equivalent
We are seeking an Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) Developer to build and operationalize marketing analytics and activation solutions. This role partners with Marketing, Product, and Data teams to deliver trusted customer data pipelines, identity resolution, segmentation, and cross-channel journey orchestration, supported by strong engineering fundamentals in SQL, ETL, Python, cloud platforms, and data visualization.
Work you’ll do:
AEP / AJO delivery
Design, develop, and maintain AEP schemas, datasets, dataflows, and data governance-aligned configurations to support marketing analytics and activation.
Implement and optimize AJO journeys, message templates, and channel configurations (e.g., email/push/SMS, as applicable).
Build and manage audience segmentation and support activation use cases (e.g., lifecycle, churn prevention, propensity-driven journeys).
Partner with stakeholders to translate marketing measurement needs into AEP/AJO technical designs (events, attributes, profile enablement, and downstream consumption).
Data engineering (SQL / ETL / Python)
Develop and maintain ETL/ELT pipelines that ingest and transform data from sources such as CRM, web/app analytics, ad platforms, and transactional systems into AEP and analytics layers.
Write high-quality SQL for profiling, transformation, validation, and performance tuning across warehouses/lakes.
Use Python for orchestration, automation, data quality checks, API integrations, and lightweight services/utilities supporting marketing data operations.
Establish data quality controls: reconciliation, anomaly detection, lineage documentation, and runbook procedures.
Cloud & platform operations
Build and operate solutions on cloud ecosystems (e.g., AWS/Azure/GCP), leveraging managed services for compute, storage, orchestration, and
monitoring.
Implement secure data handling practices (PII controls, encryption, access management) and support audit/compliance requirements.
Monitor and troubleshoot pipelines and journey execution; drive continuous improvements for reliability, scalability, and cost efficiency.
Analytics enablement & visualization
Create curated datasets (semantic layers/marts) for marketing performance reporting and experimentation measurement.
Build dashboards and automated reporting in tools such as Tableau, Power BI, or Looker, enabling self-service insights for marketers and executives.
Define and support KPI frameworks (e.g., conversion, retention, LTV, attribution inputs), ensuring metric consistency across teams.
The team:
Our
Digital Foundry Operate & Innovations
(DFO&I) team partners with organizations to rapidly design, build, and scale digital products and experiences that drive business growth and elevate customer engagement. As a multidisciplinary group of strategists, designers, engineers, and operations specialists, we deliver end-to-end solutions—from initial concept and agile development to ongoing digital operations—enabling clients to experiment, iterate, and scale digital initiatives with confidence and agility. We support clients across domains such as strategy, commerce, marketing, sales, and service, helping them realize their digital ambitions through flexible, scalable teams. Our expertise spans the full digital lifecycle, including customer research, experience design, platform development, content production, and marketing automation. By bridging the gap between strategy and execution, we empower organizations to achieve measurable outcomes and deliver exceptional customer experiences in an ever-evolving digital landscape.
Qualifications
Must Have Skills/Project Experience/Certifications:
3 - 6 years of hands-marketing data engineering, martech development, or marketing analytics engineering roles.
Hands-on experience with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) implementations in production environments.
Strong SQL skills (complex joins, window functions, performance tuning, data modeling).
Strong ETL/ELT experience (batch and/or streaming), including data validation and observability.
Proficiency in Python for data workflows and automation.
Experience with cloud platforms (AWS/Azure/GCP) and modern data stacks (data lake/warehouse concepts, orchestration, CI/CD).
Experience delivering dashboards and analytical datasets for marketing and product stakeholders.
Good to Have Skills/Project Experience/Certifications:
Familiarity with
customer identity resolution
, event-based data
modeling
, and customer 360/profile concepts.
Experience with
real-time/event streaming
(e.g., Kafka/Kinesis/
PubSub
) and/or API-driven integrations.
Knowledge of marketing measurement approaches (incrementality/experimentation, attribution concepts, funnel analytics).
Exposure to
data governance
frameworks and marketing consent/privacy requirements.
Experience implementing
CI/CD
, au
tomated testing, and infrastructure-as-code (tooling varies).
Technical skills (explicit)
AEP/AJO:
schemas/datasets/dataflows, segmentation, profiles, journey configuration, activation troubleshooting
SQL:
advanced querying, optimization, dimensional/
behavioral
modeling
ETL/ELT:
pipeline design, orchestration, data quality/observability
Python:
automation, APIs, transformations, validation
Cloud:
AWS/Azure/GCP services for data & analytics workloads; monitoring/logging
Data visualization:
Tableau / Power BI / Looker; KPI definitions and executive-ready dashboards
Success measures (example outcomes)
Reduced time-to-activate audiences and launch journeys through reliable, documented pipelines.
Improved marketing reporting trust via automated data quality checks and reconciliations.
Increased adoption of dashboards and self-service datasets across Marketing Analytics stakeholders.
Education:
BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
Bengaluru/Hyderabad/Pune/Chennai
