Digital Solution Architect

About Us

Bridgestone Americas, Inc. (BSAM), headquartered in Nashville, Tennessee, and Bridgestone Europe, Middle East and Africa (BSEMEA), headquartered in Brussels, Belgium, operate collectively as a “Bridgestone West” strategic region. This region services the strategic business needs of teams across the Americas, Europe, Middle East and Africa. BSAM and BSEMEA are subsidiaries of Bridgestone Corporation, globally headquartered in Japan. Bridgestone and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products and solutions to address the needs of a broad range of customers and industries.

Position Snapshot

Job Title: Digital Solution Architect
Location: ROMA, IT
Type of work: Hybrid
Type of contract: Open-ended/permanent
Full/Part Time: Full time

About The Role

The 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 projects
• Implement Batch processes for data ingestion, processing and transformations
• Implement Streaming processes for data ingestion, processing and transformations
• Serve and provide access to the final datasets to Data Science Team to enable Advanced Analytics
• Manage data and related metadata in Big Data Warehouse, Structured and/or Unstructured Data stores
• Design, administer and maintain data lake for big data analytics
• Design, develop and deliver components for data integration and extraction
• Operate data pipelines and cloud resources in case of failures and bug fixes
• Deployment, configuration and monitoring of the Cloud Data Platform infrastructure and services
• Work closely with Data Architect and Data Scientists
• Support ML and predictive models deployment in the cloud
• Facilitate and orchestrate Cloud, IoT, analytics use cases
• Work in Agile teams to implement new PoC and MVP projects, prepare and run demos as appropriate
• Familiarity with Web Development technologies and best practices, with special reference to the Microsoft world

Qualifications & Experience Required

Education: Master’s Degree in Computer Science or equivalent

Experience: minimum 3 years of experience working on Big Data projects using technologies such as 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, particularly Azure Data Factory, 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 and Spark for big data transformation is a must
• Knowledge and experience in serverless computing components and services such as Azure Functions or AWS Lambda
• Strong understanding of data modeling, algorithms, data transformation techniques and BI tools
• Strong understanding of big data architecture and data transformation patterns
• Strong understanding of relational databases and data warehouses (e.g., SQL Server, Oracle, MySQL, Postgres, Azure SQL Database)
• Good understanding of non‑relational databases (e.g., MongoDB, Cassandra, Azure Cosmos DB, Azure Blob Storage)
• Familiarity with Web Development technologies, APIs, and web services and the Microsoft stack: Azure App Service, Azure SQL Database, Microsoft SQL Server, T‑SQL, ASP.NET, C#
• Good understanding of IoT services and messaging technologies (e.g., IoT Hub, Event Hub in Azure)
• Proficiency with Bash scripting and infrastructure‑as‑code tools such as Azure CLI, Azure PowerShell, ARM Templates
• Proficiency with languages such as Scala, C#, Python, Java, JavaScript
• Basic understanding of AI and machine learning methodologies and libraries
• Familiarity with containerization (e.g., Docker, Kubernetes)
• Experience with version control 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 computing, IoT devices/sensors

Languages Skills

Fluent in English

Soft/Behavioral Skills

• Experience working in multicultural environments
• Analytical and problem‑solving skills
• Logical thinking and strong communication skills in team settings

Salary

Salary range: € 41,155.92 - 77,000 (based on gender‑neutral criteria: applicable CCNL requirements, responsibilities, working conditions and market benchmarks for the role and location. Final compensation will be determined based on gender‑neutral criteria: experience, skills, and internal equity.)

What We Offer

• A supportive and engaging onboarding experience to ensure a smooth transition into our team
• The opportunity to develop and grow, through training and mentorship
• Corporate Social Responsibility activities
• A truly global, dynamic and challenging work environment
• Agility and work/life balance and your long‑term well‑being
• A diverse and inclusive team

Equal Employment Opportunity Notice

We are committed to creating an inclusive culture that advances equity, embraces individuality, and helps our increasingly diverse teammates, customers, and communities thrive, by providing equal opportunities in employment. All job applicants and staff will receive equal treatment and we will not discriminate on the grounds of gender, marital status, race, ethnicity, color, nationality, national origin, disability, sexual orientation, religion or age.

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