Principal Data Architect Job in Pluto7

Principal Data Architect

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Job Summary

Role:Principal Data Architect

Experience: 10+ years

Responsibilities:

  • Design data warehouse on GCP ( AWS or Azure ) aligned with domains such as Retail, Manufacturing, Hi Tech, Education, Healthcare or similar.

  • Should have done multiple big data implementations in Enterprise in a hybrid cloud environment.

  • Lead analysis, architecture, design, and development of cloud data warehouse and business intelligence solutions

  • Actively contribute to the cloud and big data community at Pluto7, and drive new capabilities forward

  • Define cloud data strategy, including designing multi-phased implementation roadmaps

  • Mentor other team members

  • Assist business development teams with pre-sales activities, including helping estimate and plan projects

  • Willingness to travel up to 50%, at peak times (when things open up).

  • Build Machine Learning model and work with the team with ML Ops, Data Engineering, Data Pipeline and integration into the data warehouse.

Qualifications:

  • Methodologies for integration, data security, data governance and data sciences

  • Experience on any of the cloud platforms (Amazon Web Services, Azure, and Google Cloud)

  • Hands-on development using and migrating data to cloud platforms

  • Proficiency in relational database design and development

  • Proficiency and hands-on experience with big data technologies

  • Experience in languages such as Python, Java, Scala, and/or Go

  • Proficiency with both Linux and Windows

  • Analytical approach to problem-solving; ability to use technology to solve business problems

  • Passionate about learning new technologies

  • Building Machine Learning models for at least 3 customers or more in the past.

Preferred Experience:

  • 10+ years of data architecture, business intelligence and/or consulting experience

  • Cloud platform certification(s) (example: AWS Certified Solutions Architect / Google Cloud Architect)

  • MS, or equivalent, in Math, Computer Science or an applied quantitative field

  • Experience with data mining techniques and working with data-intensive applications

  • Experience working with various verticals (e.g., Retail, utilities, manufacturing, financial services, technology)



Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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