Technology Architect

Project Role : Technology Architect
Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : BE or MCA

Summary: As a Technology Architect, you will be responsible for reviewing and integrating all application requirements, including functional, security, integration, performance, quality, and operations requirements. Your typical day will involve reviewing and integrating technical architecture requirements, providing input into final decisions regarding hardware, network products, system software, and security. Roles & Responsibilities: Should have a minimum of 8 years of experience in Databricks Unified Data Analytics Platform. Good experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform Should have strong educational background in technology and information architectures, along with a proven track record of delivering impactful data-driven solutions. Strong requirement analysis and technical solutioning skill in Data and Analytics Client facing role in terms of running solution workshops, client visits, handled large RFP pursuits and managed multiple stakeholders. Technical Experience: 6 or more years of experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform. 2 or more years of experience using Python, PySpark or Scala. Experience in Databricks on cloud. Exp in any of AWS, Azure or GCPe, ETL, data engineering, data cleansing and insertion into a data warehouse Must have Skills like Databricks, Cloud Data Architecture, Python Programming Language, Data Engineering. Professional Attributes: Excellent writing, communication and presentation skills. Eagerness to learn and develop self on an ongoing basis. Excellent client facing and interpersonal skills.