What You ll Do
Provide deep experience to build data solutions across multiple Adobe products
and cloud platforms aligned with enterprise data strategy.
Engage closely with customers and Adobe team to facilitate data discovery by
evaluating systems and business processes. Analyze customer sources, data
movement, data granularity, relationships, data format, etc.
Unify disparate data (e.g., sales, CRM, analytics data, etc.) to meet customers
digital marketing use cases. Lead and develop conceptual, logical, and physical
data models for multi-solution delivery.
Showcase and follow frameworks for data quality, define standards, master data
management, data services, data governance, data modeling, tools, data security,
privacy, and compliance with industry regulations (PII, PCI, HIPAA, GDPR, etc.).
Engage with cross-disciplinary groups and Adobe professionals to identify customer
demands. Provide data layout and strategic blueprints, advocating for scalable,
secure resolutions. Assume the role of a liaison to promptly tackle technical
obstacles.
Provide solutions for growing data volumes, tools, and integrations, while aligning
with customers objectives.
Deliver Adobe platform data lake and real-time customer profile to get ready for
data ingestion and activation. Employ REST APIs, Postman, and basic scripting to
automate and streamline the implementation and setup.
Develop and construct data ingestion solutions for streaming and batch processing,
online and offline data within AEP. Collaborate with data engineers to develop and
implement ETL/ELT pipelines for data collection and extraction.
Improve data query performance across platforms by tuning models and adhering
to guidelines and ensure product guardrails are followed and deployed in solutions
Drives end-to-end data migration initiatives, transforming and migrating large-scale datasets
while maintaining data quality, integrity, and compliance.
Requirements
Degree in Computer Science, Information Systems, Data Science, or a related field
or equivalent experience.
10+ years of data architecture, modeling, SQL, and working with customers!
Expert proficiency in crafting customer-centric database models, datasets (e.g.,
CRM, Call Center, Marketing, Offline, Point of Sale, etc.) with relational, hierarchical
(e.g., RDBMS, Columnar, Data Warehouse, BI, Document, Semantic layer modeling,
Data Lakes, OLTP & OLAP, etc.).
Advanced skills in SQL development (e.g., functions, data transformations, arrays,
joins details, stored procedures, data analysis).
Deep experience in translating business requirements into scalable data
architecture by conducting structured analysis of data workflows and processes
Demonstrate outstanding organizational skills and ability to balance customer
projects concurrently with strong verbal, written communication skills and previous
experience with customer-facing engagements
Hands-on use or administration of Adobe Experience Platform (AEP) including the
available AI tools
Deep domain expertise in one or more industries (Retail, Telecom, Healthcare,
Automotive, Cloud and Streaming platforms, etc.)
Experience with programming languages (e.g., Python or Bash scripting)
Experience in planning and executing large-scale data migrations, enabling organizations to
modernize systems and unlock trusted, actionable data.
Good to have RTCDP certification
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