Data & Analytics (D&A) Solution Architect

BLUE BELL CORPORATION
Philadelphia, PA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Microsoft Azure Data Architecture SAP (Applications) SAP NetWeaver Business Warehouse Snowflake Information Technology Data Analytics

Job description

  • 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.
  • 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 (Blue Bell, PA 19422) as needed for the work. Generic Managerial Skills, If any The Data & Analytics (D&A) Solution Architect is a senior role based out of Blue Bell, Pennsylvania (Near Philadelphia), US, working closely with customer’s senior stakeholders to design scalable, secure, and future ready Data & Analytics solutions aligned with customer’s enterprise architecture standards.

Requirements

Must Have Technical/Functional Skills

  • 15+ years of IT experience in D&A Solution and Data Architecture roles designing enterprise scale Data, Analytics solutions.
  • Strong knowledge of D&A platforms (including integration/ingestion and analytics) such as Snowflake, Azure, and SAP BW/BDC.
  • Proven expertise in data architecture patterns (Lakehouse, streaming, batch, APIs).
  • Experience with architecture governance, design reviews, and enterprise standards.
  • Ability to evaluate architectural trade offs across performance, cost, security, and scalability, and communicate effectively with stakeholders.
  • Experience of working in developing D&A solutions in manufacturing or related industries.
  • Data-led business transformation mindset, preferably supply chain, would be required.

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