Data Platform Solution Architect

Avanade Data Platform offering helps clients get their data estates organized and optimized with the Microsoft cloud and supports their Big Data, IoT, Advanced Analytics and AI solutions

Role Overview

As a Data Platform Solution Architect, you will work with clients to identify, document, and translate their business strategy and requirements into solutions and services in Azure that help our clients achieve their business outcomes using Data solutions. The scope of solutions can include diverse data (including IOT, batch and real time data) and advanced analytics capabilities. We aim to cover the whole data stack from data ingestion and storage, data modeling, machine learning, and data interaction and visualization that are all powered by Microsoft Azure technologies. On top of that you need to have a general understanding of other cloud services such as APIs and Microservices or Security Services (AAD, Azure KeyVault). Some knowledge of DevOps for data pipelines will be welcome. You will deliver relevant and sustainable customer technical proposals based on your knowledge of Data Platform & Analytics solutions, as part of the Avanade Data & AI Market Unit. Key to this role is that the individual will be an expert in selecting the optimal architecture and delivery approach that will service clients' needs with a balance of costs, capability, and risks to achieve the business outcomes. You will be a technical counterpart to Business Developers and Account Leads, supporting sales by providing technical expertise, acting as a customer interface to Avanade technology solutions, offerings, and technical capabilities during Avanade's sales process.

Key Role Responsibilities

Day-to-day you will:

Develop technical value propositions which address customer needs and positively differentiate Avanade. Develop technical architectures. Build technical relationships with customer IT, mapping customer business and technology challenges into Data solutions. Lead direction on scope, approach, and estimation for technical aspects of proposal development activities Support the negotiation and contracting process through balancing scope, resources, and milestone requirements. Analyze current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services. Identify and prioritize the technical skills that will be in demand in our Delivery Teams, so that we can plan the adequate training.

Key Skills

Proven client experience defining Data architectures that services clients' needs with the right balance of costs, capability, and risk to meet clients' business objectives. Strong understanding of the value propositions and technologies associated with AI, Data, PaaS, and DevOps in the Microsoft Azure platform (Azure Data Factory, Azure Data Lake, Azure Synapse, PowerBI,) Demonstrated experience of turning business use case and requirements to technical solutions. The ability to apply methods to solve business problems using one or more Azure Data and Analytics services in combination with an agile approach. Build strong technical credibility with customers and internally with delivery teams. Proven delivery background and significant technology consulting experience Eagerness to learn new solutions and architecture patterns and be ready to apply them. Highly customer-focused with commercial sensitivity Good oral and written communication skills Able to develop customer relationships.

Experience our main benefits

Flexible schedule

Possibility to work 100% remotely when HUB will be working efficiently

Days off during Christmas and Easter.

Medical insurance.

Variable and flexible remuneration.

Microsoft certification and training in soft skills.

LGTBIQA+ Friendly Environment

[1] Here, You will find out our benefits

References

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