Project Role : Custom Application Architect
Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Cloud Data Architecture
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an Application Architect, you will provide functional and technical expertise to plan, analyze, define, and support the delivery of future functional and technical capabilities for an application or group of applications. Your typical day will involve collaborating with various teams to assess impacts, produce estimates for client work requests, and ensure that the applications meet the evolving needs of the organization. You will engage in discussions to identify potential improvements and innovations, while also guiding the team in implementing best practices and methodologies to enhance application performance and user experience.
Roles & Responsibilities:
Should have a minimum of 8 years of experience in Databricks Unified Data Analytics 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:
10 or more years of experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform.
3 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 of Education
15 years full time education
