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Sr. Cloud Data Analytics Solution Architect(Onsite)The Dignify Solutions LLC • United States
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XX

Sr. Cloud Data Analytics Solution Architect(Onsite)

The Dignify Solutions LLC
  • +3
  • +4
  • US
    United States
  • +3
  • +4
  • US
    United States
Jetzt Bewerben

Über

Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud and Artificial Intelligence. 5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace. Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud. Deep hands-on experience in Azure Databricks and all AZURE related technologies and functionalities such as Azure Synapse is a MUST. Experience in implementing Snowflake data warehousing solutions including the latest innovations such as Cortex, Data marketplace, Apps etc... Experience in within a consulting firm or similar environment, with a focus on cloud data analytics in the MedTech industry. Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices. Strong technical experience in major BI reporting tools like Power BI, Tableau, ThoughtSpot etc. Strong ERP knowledge (SAP) in manufacturing, business acumen and ability to translate complex technical concepts into business value. Excellent communication, presentation, and interpersonal skills. Proven track record of successfully leading and delivering data analytics projects from conception to completion for fortune clients Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.

Wünschenswerte Fähigkeiten

  • Azure
  • Big Data
  • PySpark
  • Data Integration
  • United States

Berufserfahrung

  • Data Engineer
  • Data Infrastructure
  • Solutions Architect

Sprachkenntnisse

  • English
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