Senior SAP Data Architect (S4HANA, BW, Data sphere & Data Analytics)

Greetings from Maneva!

Job Description

Job Title - Senior SAP Data Architect (S/4HANA BW Data sphere & Data Analytics)

.Experience - 10 - 18 Years

Location - PAN India

Notice - Immediate to 30 days

Requirements:

Technical Skills

• 15 years of experiencewith strongexpertiseas an SAP Data architectincludingSAPS4HANAand AFS with coverage of several modules such as MM/SD/FICO SAP CARetc. Proven experience in extraction and modelling in SAP BW SAP HANA/Data sphere/ BDCand building modelled reporting solutions.
• Good working experience in integration of data via BODS/SAP CPI/ SLT& event/message-based integration.
• Understanding of microservices REST/SOAP APIs.
• Experience in reporting &visualization platforms (e.g. Power BI Tableau SAP BOBJ Bex etc).
• Good to have:Knowledge and exposure in Databricks data architecture and data engineering usingPySpark. Ability to navigate troubleshoot and design data onboarding and support data architecture for data products in Databricks for consumption of ML and visualisation
• Experience withconceptual and logicaldata modellingcovering data entities or information architecture( Diagrams orErwinPower Designer).
• Exposure to managing andmaintainingmeta-data and data architecture lineages with datacatalogsuch as Alation/ Collibra/ Purview and DQ and observability platforms.

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong communicationand stakeholder management abilities.
• Ability to work in a fast-paced collaborative environment.
• Self-driven goal oriented and ability to manage timelines within a collaborative environment.
• Ability to translate a bigger picture into detail and to translate technical speech to the business language.
• Ability tomaintaina sufficiently deep knowledge of business areas processes data context and solutions and technology to provide architectural leadership and direction for the domain.
• Expected to carry out core accountabilities with minimal level of supervision for complex tasks and no supervision for more routine matters following delivery best practises with DPM and service managers.
• Ability to delegate delivery responsibilities whileretainingoversight and accountability.
• Work closely with the delivery team for successful implementation and go live of the solution.
• Continuously improve with Burberry governance frameworks including logging and tracking tech-debt and actions and improve pain points around observability and maintenance of data architecture.

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