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Cloud Data Architect

Edge Global

 

New Jersey, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Cloud Data Architect
Tenure: No Preference/Any
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Description

Lead the design and implementation of advanced data analytics solutions for MedTech organizations, focusing on strategic technical advisory and project delivery for Fortune-level clients.

Responsibilities

  • Assess client data infrastructure, analytics capabilities, and business processes to provide strategic technical advisory.
  • Design and oversee the implementation of secure, scalable, and highly available cloud-based solutions on AWS and Azure.
  • Architect Data Fabric, Data Mesh, and Data Product scenarios within heterogeneous and hybrid landscapes.
  • Collaborate with sales teams to develop customized data analytics proposals and articulate value propositions during client presentations.
  • Lead and deliver data analytics projects from conception to completion.

Required Skills

  • 15+ years in data analytics consulting with 10+ years in a Senior Architect role focused on Cloud, AI, and advanced analytics.
  • 5+ years designing solutions using Databricks, Snowflake, PySpark, and Big Data tools including DataOps, Data Integration, and Data Orchestration.
  • Deep hands-on experience with Azure Databricks and Azure Synapse.
  • Experience implementing Snowflake data warehousing, including Cortex, Data Marketplace, and Apps.
  • Proficiency in Python, R, and SQL.
  • Technical expertise in AWS and Azure cloud platforms.
  • Experience with BI reporting tools such as Power BI, Tableau, or ThoughtSpot.
  • Strong ERP knowledge, specifically SAP, within manufacturing environments.
  • Bachelor's or Master's degree in Computer Science, Data Science, or Business Analytics.

Preferred Skills

  • Relevant certifications such as Snowflake, Databricks, Certified Analytics Professional, or AWS Certified Big Data - Specialty.
  • Ability to provide POV and recommendations on market trends like Microsoft Fabric.

Education

Bachelor's or Master's degree in Computer Science, Data Science

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