Anaplan Dms

Job:
- IRC183382- Location:
- India - Noida- Designation:
- Solution Architect- Experience:
- 10-15 years- Function:
- Technology- Skills:
- AWS, AWS API Gateway, Data Integrator, Database Connection, ETL, Microservices, Python, REST- Work Model:
- Hybrid**Description**:
Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.

**Requirements**:

- 12 year plus string solution architect / data architect
- Create level of effort estimates for the proposed solutions to support cost model activities
- Create, own and maintain the One Technologies Architectural Artifacts (building blocks, models, governance, architecture and unified roadmaps)
- Lead the architecture and enabling technologies strategy for data enablement for the organization
- Deliver supplemental technical expertise and guidance to project teams as needed
- Collaborate with Product owners and define the product roadmap, maintain the product backlog, and define release cadence
- Perform data profiling using SQL to validate data analysis and identify/resolve data issues
- Ensures solution designs and implementation of new system capabilities align and adheres to the enterprise risk policies and regulatory guidelines
- Participate in the definition and execution of testing strategies and plans
- Make recommendations that are aligned with Enterprise Risk’s data strategy, vision and objectives
- Identifying common technical and business patterns and turning these into re-usable guidance which helps to drive growth in our business
- Understanding of Application Architectural patterns - Microservices, Event Driven. Different communication styles,
- Developing and implementing an overall data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
- Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
- Planning and execution of data solutions using technologies (On premises/ Cloud based services)
- Defining and managing the flow of data and dissemination of information.
- Integrating technical functionality, ensuring data accessibility, accuracy, and security.
- Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.

**Responsibilities**:
12 year plus string solution architect / data architect
Create level of effort estimates for the proposed solutions to support cost model activities
Create, own and maintain the One Technologies Architectural Artifacts (building blocks, models, governance, architecture and unified roadmaps)
Lead the architecture and enabling technologies strategy for data enablement for the organization
Deliver supplemental technical expertise and guidance to project teams as needed
Collaborate with Product owners and define the product roadmap, maintain the product backlog, and define release cadence
Perform data profiling using SQL to validate data analysis and identify/resolve data issues
Ensures solution designs and implementation of new system capabilities align and adheres to the enterprise risk policies and regulatory guidelines
Participate in the definition and execution of testing strategies and plans
Make recommendations that are aligned with Enterprise Risk’s data strategy, vision and objectives
Identifying common technical and business patterns and turning these into re-usable guidance which helps to drive growth in our business
Understanding of Application Architectural patterns - Microservices, Event Driven. Different communication styles,
Developing and implementing an overall data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
Planning and execution of data solutions using technologies (On premises/ Cloud based services)
Defining and managing the flow of data and dissemination of information.
Integrating technical functionality, ensuring data accessibility, accuracy, and security.
Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.

**W