Quick overview
Job description
Exp. Required: 10+ Year’s
Must Have Technical/Functional Skills
Extensive IT experience in D&A Solution and Data Architecture roles, with demonstrated expertise in
designing enterprise-scale Data and Analytics solutions.
Significant hands-on experience with Databricks, preferably in AWS environments.
Strong knowledge of D&A platforms (including integration/ingestion and analytics) such as Databricks,
AWS, and SAP BW/BDC.
Strong presentation and communication skills, with the ability to engage senior-level audiences.
Proven expertise in data architecture patterns (Lakehouse, streaming, batch, APIs).
Experience with architecture governance, design reviews, and enterprise standards.
Experience of working in developing D&A solutions in manufacturing or related industries.
Deep understanding of entire data life cycle including ingestion, modelling, data quality, data governance,
Analytics solutions.
Roles & Responsibilities
Define architecture for Data Analytics and AI use cases, covering solution patterns across different
enterprise data platforms, integrations, and analytics, that is typical of any large, global enterprise.
Strong program management skills to lead successful delivery of data transformation programs.
Ensure architectural alignment with SAP, Microsoft, and approved enterprise platforms.
Evaluate solution options and trade-offs from performance, cost, and scalability perspectives.
Own architecture governance and design reviews.
Collaborate with customer's enterprise architects and D&A architects to ensure adherence to enterprise
principles.
Travel to locations within or outside US other than the base location as needed for the work.
Generic Managerial Skills, If any
Strong Communication & Presentation Skill
Customer Management
Program Management
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