GCP Solution Architect

Essential Duties :

• Leads technical teams in designing, documenting and implementing technical solutions for business problems
• Executing technical feasibility assessments, solution estimations and POC development for moving identified workloads to Cloud
• Review/develop/enhances and implements enterprise data management architectures in GCP that meet all client business needs
• As a key member of the team, ensure success in designing, building and migrating applications, software, and services on the Cloud platform.
• Formulates workable solutions that integrate people, process and technology. Integrates competency leads and other subject matter experts to define the details of vision and solution
• Identifies, creates and communicates the vision of the end-to-end solution for the client and implementation teams after completing thorough evaluations of the present state needs Develop a migration approach to move workloads from On-Premises to Cloud or develop new cloud-ready application solutions
• Design and develop conceptual / logical / physical data models for building large scale data lake and data warehouse solutions
• Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, etc. Create functional & technical documentation e.g. data integration architecture documentation, data models, source to target mapping, data dictionaries, data integration specifications, data testing plans, etc.
• Collaborate with business users to analyse and test requirements
• Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Architecture
• Proven experience in solving mission-critical business and technology problems and provide solutions which centre on the consumption of the Cloud Platform
• Supports Delivery Enablement and Practice Leads by ensuring appropriate linkage between practices is clear and well understood
• Works with practice leads to develop project estimating methodologies for new areas of focus
• Participates in strategy development and current state assessments for clients to identify opportunities. Acts as proxy for practice leads when necessary
• Works with client to sell the proposed solution and develop internal marketing programs. Develops comprehensive project, implementation, and resource plans working closely with Engagement and Project Managers

Preferred Skill:

• Experience with Big Data technologies, platform, and solutions
• Good understanding of and experience in architecting, designing and implementing on Cloud platform (IaaS/PaaS/SaaS) at scale
• Should be able to foresee any risks associated with migration projects and flag the risk Experience in using CI and CD tools/services such as Azure DevOps, Terraform, AWS CodePipeline, AWS CodeCommit or Similar.
• Experience and working knowledge of Virtualization, Networking, Data Center, and Security Strong hands-on experience in integrating multiple databases like SQL Server, PostgreSQL, Oracle, BigQuery, Redshift, Synapse etc. Familiarity with DB designing / Migration desirable. Experience in Kubernetes, Docker, and other cloud deployment, container technologies Experience with business intelligence, data integration, and SQL database implementations Experience leading project and development teams in design and development of complex systems.
• Experience with waterfall and agile development methodologies.
• Experience with data governance including data quality and master data management Experience with computer security, networking, and compute (virtual or physical) technologies
• Comprehensive understanding of relational databases and technical documentation
• Ability to analyse business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions.
• Ability to transform business requirements into technical requirement documents. EXL Service
• Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combines the two together.
• Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic stand-point.
• Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM