Job Description
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 Education15 years full time education
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 Education15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at
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