Inside Account Manager managing E - commerce clients at secupay AG. Developing relationships and providing consultancy on payment solutions in a hybrid role based in Pulsnitz.
About the role
- Lead data architecture and solutions for Adobe's innovative digital marketing platforms. Collaborate with cross-functional teams to deliver advanced data strategies and governance.
Responsibilities
- 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.
- Establish 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.).
- We develop and champion data architecture guidelines via detailed documentation. These encompass architectural blueprints, ERDs, data flow diagrams, source-to-target mappings, data dictionaries, metadata catalogs, governance frameworks, guardrails, and security and compliance protocols.
- We engage with cross-disciplinary groups and Adobe professionals to identify customer demands.
- We provide data layout and strategic blueprints, advocating for scalable, secure resolutions.
- Assume the role of a liaison to promptly tackle technical obstacles.
- We develop strategies for growing data volumes, tools, and integrations, while aligning with customers’ objectives.
- We deliver mentorship on data architecture to customers and consultants to align work with targets.
- We 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.
- We improve data query performance across platforms by tuning models and adhering to guidelines and ensure product guardrails are followed and deployed in solutions.
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.
- Special Consideration given for Hands-on use or administration of Adobe Experience Platform (AEP).
- 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).
Benefits
- Health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
- bonuses
- stock options
- equipment allowances
- wellness programs
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