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Google Cloud Solutions Architect - Senior Manager - Atlanta Georgia
Company: PwC Location: Atlanta, Georgia
Posted On: 05/03/2024
Specialty/Competency: Platform Engineering & Architecture Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60% A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies. We help our clients adopt the cloud to transform Information Technology, scale and streamline operations and create new cloud based businesses through our strong alliances. You'll be at the forefront of helping organisations around the globe adopt innovative technology solutions that optimise business processes or enable scalable technology. Our team helps organisations transform their network architecture and infrastructure to fundamentally change the role of Information Technology from an custodial asset to an orchestrator of business services. As part of the team, you'll focus on the architecture of data centres, including the design and implementation of network architecture and information storage to optimise innovation and programme delivery for our clients. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
- Deal effectively with ambiguous and unstructured problems and situations.
- Initiate open and candid coaching conversations at all levels.
- Move easily between big picture thinking and managing relevant detail.
- Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
- Contribute technical knowledge in area of specialism.
- Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
- Navigate the complexities of cross-border and/or diverse teams and engagements.
- Initiate and lead open conversations with teams, clients and stakeholders to build trust.
- Uphold the firm's code of ethics and business conduct.
Basic Qualifications : Minimum Years of Experience : 7 year(s) Preferred Qualifications : Degree Preferred : Bachelor Degree Preferred Fields of Study : Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology, Business Analytics Certification(s) Preferred : Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect Preferred Knowledge/Skills : Demonstrates intimate-level abilities and/or a proven record of success managing efforts with identifying and addressing client needs: - Demonstrating knowledge of Cloud platforms and the technologies that make them work. (Google Cloud Platform, AWS, Azure);
- Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. (ITIL, ServiceNow);
- Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.;
- Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode;
- Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.;
- Implementing and designing AI/ML, including GenAI, solutions using Vertex AI, dialogflow, Cloud Vision, CCAI, etc.; and,
- Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc.
Demonstrates intimate abilities and/or a proven record of success as a team leader: |
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