Senior Solutions Architect

1 month ago

Mountain View, United States Harnham Full time

Senior Solutions Architect

Medical Equipment Manufacturing

Mountain View, CA -- Hybrid -- 3 Days On-Site Mandatory

$$ 170-195K Base Salary + 15% Bonus


We are searching for a Senior Solutions Architect to lead the design, development, and implementation of advanced analytics solutions. This role focuses on shaping data strategies that enhance supply chain processes. The ideal candidate should have strong experience with ERP data (preferably SAP) and expertise in analytics architecture.


THE COMPANY


Our client is a leading innovator in supply chain technology and solutions, empowering businesses to streamline operations and optimize decision-making through data-driven insights. They are committed to pushing boundaries in logistics and supply chain analytics, fostering a collaborative environment where innovation and excellence thrive.



THE ROLE


  • Collaborate with supply chain stakeholders to understand their analytics needs and create data-driven solutions.
  • Architect scalable, high-performance data products that address complex supply chain challenges.
  • Lead the integration of analytics into key business processes, ensuring seamless adoption across teams.
  • Manage the roadmap for analytics initiatives, aligning them with business goals and supply chain strategies.
  • Ensure data quality, security, and governance are upheld across all analytics platforms.
  • Stay current with emerging technologies and trends in analytics, particularly in supply chain management.



QUALIFICATIONS


  • Advanced SQL skills, including experience with data modeling and query optimization.
  • 10+ hands-on YOE developing analytics solutions with tools like Snowflake, Redshift, Tableau, or similar platforms, using ERP data (preferably SAP).
  • Deep understanding of supply chain processes and associated data flows.
  • Proven ability to communicate technical concepts for non-technical stakeholders, fostering collaboration and understanding.
  • BS or MS in Computer Science, Data Science, or IT-related field.


Must Be Authorized to Work In The US

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