Job Description

Project Role :

Technology Architect

Project Role Description :

Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.

Must have skills :

Databricks Unified Data Analytics Platform

Good to have skills :

Cloud Data Architecture

Minimum

5

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: As a Technology Architect, you will engage in a dynamic environment where you will review and integrate all application requirements, ensuring that functional, security, integration, performance, quality, and operations needs are met. Your typical day will involve collaborating with various teams to assess technical architecture requirements and providing valuable input into critical decisions regarding hardware, network products, system software, and security measures. You will play a pivotal role in shaping the technological landscape of the organization, ensuring that all components work harmoniously to achieve business objectives. 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. Education Qualification: - 15 years full time education is required.




15 years full time education