Digital Solution Architect
Pubblicato il 24-10-2026 - Bridgestone in Roma
Job TitleDigital Solution Architect About the RoleJob purposeThe Data Engineer is accountable for the design, implementation and release from an IT perspective of modern data applications and pipelines of running projects as well as new initiatives in the context of the Digital Lab.
The professional will be responsible to build integrations with external data systems, to enable data collection from a wide variety of data sources, to transform and combine properly these data in order to enable Advanced Data Analytics use cases.
The professional will also be responsible to deploy, manage and maintain the data platform in the Cloud that is the backbone for any data related project of the organization.
The professional will work closely with Business and R&D; departments as IT function will orchestrate and facilitate Cloud, IoT and Big Data projects following the Enterprise Architect guidance and collaborate with others IT Enterprise functions. The professional ensures compliance with advised BSEMIA data management rules, security policies, tools, and technology stack. The professional has experience with Agile frameworks and Strategic mind set with hands-on mentality, creative / out-of-the-box, flexible / courageous, showing ownership and agility.
Responsibilities:
Design, develop and deliver reliable modern data pipeline to support any data related projectsImplement Batch processes for data Ingestion, Processing and TransformationsImplement Streaming processes for data Ingestion, Processing and TransformationsServe and provide access to the final datasets to Data Science Team to enable Advanced AnalyticsManage data and related metadata in Big Data Warehouse, Structured and/or Unstructured Data storesDesign, Administer and Maintain Data Lake for Big Data AnalyticsDesign,
Develop and Deliver components for Data Integration and ExtractionOperates data pipelines and cloud resources in case of failures and bugfixesDeployment, configuration and monitoring of the Cloud Data Platform infrastructure and servicesWorks closely with Data Architect and Data ScientistsSupport ML and Predictive Models deployment in the cloudFacilitates and orchestrates Cloud, IoT, Analytics use cases.
Works in Agile teams to implement new PoC and MVP projects, prepares and runs demos as appropriate.
Familiarities with Web Development technologies and best practices, with special reference to the Microsoft world.
Qualifications & Experience Required Education, Master, other certification: Master's Degree in Computer Science or equivalent.
Experience (years):Minimum 3 years of experience working on Big Data projects, using technologies like HDFS, Hadoop, Spark, Spark Streaming, Hive, HBase ...Minimum 3 years of experience developing Batch and Streaming data pipelines especially in Microsoft Azure and using Spark.
Technical skills: Advanced experience with IaaS and PaaS in Azure especially using Azure data services like Azure Data Factories, Azure Databricks, Azure Data Lake Store, Azure SQL database, Azure HDInsight. AWS knowledge is a nice to have.
Broad understanding and experience with software development best practices,
cloud oriented architectures and OLTP/OLAP workloads.
Advanced knowledge of SQL language and Spark for Big data transformation is a must.
Knowledge and experience in Serverless computing components development and with services like Azure Functions or AWS Lambda.
Strong understanding of data modeling, algorithms, and data transformation techniques and BI toolsStrong understanding of Big Data architecture and Data transformations patternsStrong understanding of relational DB and Data Warehouses (such as SQL Server, Oracle, MySQL, Postgres or similar and/or Azure SQL database service)Good understanding of non-relational DB (such MongoDB, Cassandra, or Azure CosmosDB, Azure Blob Containers)Familiarities with Web Development technologies, APIs, and web services and related Microsoft stack: Azure App Service, Azure SQL Database, Microsoft SQL Server and T-SQL language, ASP.NET, C# language.
Good understanding of IoT services and messaging technologies (such IoT Hub, Event Hub in Azure)Proficiency with Bash scripting and Infrastructure as a code using tools like Azure CLI, Azure Powershell, Azure Resource Manager (ARM) TemplatesProficiency with some but not necessarily all the following languages: Scala, C#, Python, Java and JavascriptBasic understanding of Artificial Intelligence and Machine Learning methodologies and librariesFamiliarity with containerization (such as Docker, Kubernetes)Experience with common Code versioning and DevOps Pipeline tools such as Git and Azure DevOps.
Understanding and experience with object-oriented design and development.
Technical understanding of current and emerging digital technologies and trends, such as artificial intelligence / machine learning, advanced computing platforms, edge comput