Job Summary
Serve as a technology architect specializing in SAP data archiving solutions including DART ILM and Archiving for a global organization adopting a hybrid work model. Apply deep experience of twelve to fourteen years to design robust compliant and scalable data lifecycle frameworks that reduce risk optimize storage and support smooth business operations in the utilities domain when applicable.
Responsibilities
- Design comprehensive SAP data lifecycle and archiving architectures that align with enterprise standards regulatory expectations and performance objectives for complex hybrid landscapes
- Analyze current SAP data growth patterns and retention practices to identify optimization opportunities that reduce storage costs while maintaining reliable access to critical business information
- Configure and refine SAP DART solutions to support compliant extraction of financial and operational data ensuring audit readiness and consistent reporting across global entities
- Implement SAP ILM policies that manage data retention residence and destruction in line with corporate and regional regulations helping to reduce risk associated with long term data storage
- Develop robust SAP Archiving strategies covering selection criteria technical configuration and retrieval processes to maintain system performance while ensuring data remains accessible to authorized stakeholders
- Collaborate with functional consultants and business process experts including utilities domain specialists to translate regulatory and operational needs into practical SAP data handling designs
- Coordinate and review end to end solution designs across SAP modules to ensure that DART ILM and Archiving components integrate smoothly with existing applications interfaces and data warehouses
- Create detailed technical specifications configuration documents and solution runbooks that guide implementation teams and support personnel in sustaining the designed data lifecycle solutions
- Guide performance tuning efforts for SAP systems impacted by archiving activities focusing on response time optimization system stability and predictable batch processing behavior
- Plan and execute data archiving and ILM cycles including test scenarios validation scripts and fallback procedures to minimize business disruption during day shift operations in the hybrid work model
- Provide mentorship and advanced troubleshooting support to project teams by resolving complex issues related to data extraction retention and retrieval and by sharing best practices grounded in extensive experience
- Engage with risk and compliance stakeholders to validate that SAP data lifecycle solutions satisfy legal fiscal and industry specific requirements especially within utilities when relevant
- Contribute to continuous improvement initiatives by assessing emerging SAP data management features and proposing enhancements that strengthen organizational resilience and societal trust in secure data handling
Qualifications
- Demonstrate twelve to fourteen years of progressive experience working with SAP solutions with deep focus on data archiving and information lifecycle management in large multinational environments
- Show strong hands on expertise in configuring and operating SAP DART tools including setup of extraction objects variant design and integration with audit and reporting processes
- Exhibit proven proficiency in SAP ILM including definition of retention rules residence policies and destruction workflows that adhere to corporate governance and regulatory constraints
- Display practical experience implementing SAP Archiving across key modules such as finance and logistics ensuring that archived data remains consistently retrievable through standard SAP mechanisms
- Apply knowledge of utilities domain processes such as meter to cash asset management and regulatory reporting to design data lifecycle solutions that reflect sector specific needs when present
- Demonstrate ability to work effectively in hybrid work arrangements coordinating with distributed teams and stakeholders through clear communication documentation and structured collaboration routines
- Showcase strong analytical and problem solving skills with capacity to diagnose complex data issues model alternative solutions and recommend approaches that balance compliance performance and cost
- Utilize clear and inclusive communication skills to explain intricate SAP data concepts to nontechnical partners fostering shared understanding and informed decision making across business functions
- Exhibit familiarity with enterprise security and privacy principles ensuring that data archiving and ILM designs support safeguarding of sensitive information and ethical use of organizational data
- Display commitment to continuous learning in SAP technologies and data governance practices adapting quickly to new features tools and regulatory expectations that influence solution design
Certifications Required
SAP Certified Technology Specialist in Data Provisioning or equivalent SAP data management certification
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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