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Consultant / Architect - Data Platform Strategy & Architecture

Dettagli della offerta

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day.
We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role Kyndryl Consult mission's is to accelerate the digital transformation and IT modernization agenda of global enterprises and government agencies, specifically focusing on designing modern infrastructure and operating models to enable the transformation and leverage cloud as a new delivery and service model.
Our consultants and architects assist clients to determine their business issues, recommend solutions and drive implementation to support business value.
They use in-depth consulting skills, technology knowledge, industry frameworks, and best practices to assess client status and needs and help them define and implement the proper technology strategy to support their digital transformation.
This position is for experts with direct experience in Data platform strategy architectures, with the capability to engage clients to assess their data strategy within the context of application transformation and adoption of Cloud as a new delivery and service model.
The ideal candidate will have matured experience in the design of the target data platform and the most convenient transformation roadmap, including technology adoption and organization and process changes.
The candidate will have also significant experience with data platforms built with hyper scaler or specific vendor technologies and be knowledgeable of the different data life-cycle stages.
Key Responsibilities Perform maturity assessment on data platform architecture and data governance processes based on industry best practices and frameworks.
Lead data strategy and architecture workshops, with business and technical teams, to gather and formalize requirements, establish a transformation vision and define architectural principles and adoption guidelines to support the data platform modernization.
Drive discussion and "co-create" with clients' stakeholders the high-level future state of the data platform architecture and recognize the implications at process, skills and organization levels.
Perform the gap analysis, based on selected use cases, and identify and prioritize the possible transformation initiatives.
Support the creation of client business cases and ROI analysis.
Support the technology evaluation and the design of project Statement of Work RFP.
Support sales and go-to-market organization with activities ranging from initial client exploratory meetings, gathering requirements, structuring solution bids and ramping up the team for execution.
Lead the solution and implementation of the technical, functional deployment architecture.
Who You Are Required Professional and Technical expertise Specific Professional skills: 5+ years performing IT consulting engagements.
3+ years of experience in consulting in Data Management architecture and services.
Ability to assess and understand relevant customer business challenges and present solutions in business and technical terms.
Experience in implementing strategies for IT Strategy and Data and ability to engage in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications onto Azure, AWS, or GCP platforms.
Demonstrated knowledge in Big Data, Data Warehouse, Data Lake, Data Supply Chain, and related technologies (e.g.
Cloudera, Teradata, Data Stage, …) on-premise and on Cloud.
Experience in migration of On-prem Enterprise Data Platform to Cloud-based Enterprise Data Platform.
Demonstrate knowledge in Observability and Application Performance Management solutions with a focus on Elasticsearch and Dynatrace technologies.
Practical experience in capturing client requirements, mapping processes, conducting hypotheses-based analysis, creating business cases, evaluating and presenting solutions.
Exceptional presentation skills with demonstrated executive engagement and proven ability to present strategic information to, and drive change across a broad range.
General Professional skills: Environment: Professional knowledge of function, business unit, or country operations.
Understand organizational resources, priorities, needs, and policies.
Communication/Negotiation: Guide other professionals.
Adapt communications and approaches to conclude negotiations with various partners, resulting in common agreements.
Problem Solving: Analyze complex/new situations, anticipate potential problems and future trends, and assess opportunities, impacts, and risks.
Develop and implement solutions.
Contribution/Leadership: Leads multi-functional teams, conducts special projects, or manages department(s) (national or international).
Has a vision of functional or unit mission.
Influences people and organizations, including executive management, when issues are complex/difficult and require considerable diplomacy.
Impact on Business/Scope: Accountable for projects or programs involving multi-functional, country-wide or regional teams.
Responsible for overall functional program success.
Preferred Technical and Professional Experience Good experience and familiarity with Overall Data Architecture and guiding principles, best practices, and patterns.
Knowledge on commercial and open-source Data management ecosystem.
Experience in technologies covering areas like data fabric, commercial and hyperscaler data catalogs, data lake, data ingestion, real-time streaming, NoSQL, and multi-petabyte scale data platforms.
Experience with Data Visualization tools (e.g.
Power BI, Kibana, …).
Experience with Observability and APM technologies (e.g.
Elastic, Dynatrace, …).
Experience with Machine Learning Model Deployment, Open Neural Network Exchange, ModelOps and LLMOps approach and methodologies.
Certifications preferred in Cloud Hyperscalers (AWS/Azure/GCP) in the areas of Data Architecture, Data Engineering, Data Analytics, Machine Learning and AI Technology Architecture.
Required Education Bachelor's Degree Preferred Education Master Degree Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are.
We welcome people of all cultures, backgrounds, and experiences.
What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value.
Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey.
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Salario Nominale: Da concordare

Risorsa: Talent_Dynamic-Ppc

Funzione Lavorativa:

Requisiti

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