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Cloud Principal Data Architect Data Analytics (Databricks)

· Bachelor or Master degree in Computer Science, Data Science, Business Analytics, or a related field.

· 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.

· Business User champion who will drive the analytics adoption among the business teams leading from front.

· Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud.

· Hands on individual with ability to self-explore on market trends and provide POV on how it will

· have an impact on existing landscapes and suggest recommendations.

· Experience in Azure Databricks on Azure is a MUST.

· Experience within a consulting firm or similar environment, with a focus on cloud data analytics in the Manufacturing 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.