Application Architect

Project Role : 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 : Manufacturing Operations
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : BE or BTECH

Project Role: Industrial Data 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. focused on designing, building, and managing the data architecture of industrial systems, Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives. This role involves collaborating with various teams to design and implement efficient, scalable, and secure data solutions for industrial operations. Must have Skills: Domain knowledge in areas of Manufacturing IT OT in one or more of the following verticals Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements: Key Responsibilities: 1. Architecting and Designing OT data for manufacturing industries. 2. Own end to end delivery of large and complex data transformation programs, small and nimble data initiatives to realize quick gains, work with ACCENTURE and Partners to bring the best tools and delivery methods. 3. Own the offerings and assets on key components of data supply chain, data governance curation, data quality and master data management, data integration, data replication, data virtualization. 4. Design and implement data architecture strategies aligned with business goals and technological advancements. 5. Create scalable and secure data structures, integrating with existing systems and ensuring efficient data flow. Technical Experience: 1. Minimum of 14-18 years progressive information technology experience. 2. Well versed with OT data quality, Data modelling, data governance, data contextualization, database design, and data warehousing 3.Big Data design across multiple platforms with extensive experience on very large data repositories. Proficient in SQL, NoSQL, and big data platforms (e.g., Hadoop, Spark), Ecosystem and MapReduce. 4.Support both the development of new business opportunities and the delivery of data platform services to clients. 5.Advise in the planning, design, management, execution, and reporting of the core components for big data offerings. 6. Experience with IoT, machine learning. Professional Attributes: Must have good communications skills and ability to manage the team members. Educational Qualification: BE, BTECH