DATA & ANALYTICS SENIOR SPECIALIST
Pubblicato il 11-08-2026 - Altro in Torino
Agile / SAFe, DevOps & DataOps delivery practices. Digital and Information Technology Data & Analytics Senior Specialist Category: Digital and Information Technology Job Type: Full Time Working Mode: Hybrid About Us Innovation. Sustainability.
This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity‐enhancing precision tech, we are delivering solutions that agevolazioni people – and they are possible thanks to people like you.
Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can't happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.
Job Purpose The main responsibility of this role is to define and govern how data is structured, integrated, stored, and made consumable as reusable data products across CNH on a Databricks-centric Lakehouse platform. The role is responsible for establishing the target‐state data architecture, modeling standards, and technology patterns that enable the ingestion, transformation, storage, and enrichment of data. This ensures that CNH's data foundation is scalable, performant, trusted, and AI‐ready, while remaining aligned with Enterprise Architecture, Security, and the broader Data & AI strategy.
Key Responsibilities Define the target-state data architecture and roadmap (conceptual, logical and physical data models) for the enterprise data landscape, maintaining current and target state blueprints. Set standards, reference architectures and design guidelines for data ingestion, modeling,
storage and consumption on the Databricks Lakehouse, to be adopted by delivery and engineering teams. Architect scalable, reusable and automated data pipelines (batch & streaming) and promote a data products operating model with strong DataOps practices.
Design data structures that are AI- and analytics‐ready, enabling BI, advanced analytics, ML and GenAI use cases (feature engineering, vector/semantic layers, RAG‐ready data) leveraging the Databricks ecosystem. Apply data governance and data quality principles within the architecture, partnering with the dedicated Data Governance function (which owns governance strategy) to ensure compliant, well‐modeled and well‐cataloged data, leveraging Unity Catalog for cataloging, lineage and access management. Ensure security, privacy and compliance by design (GDPR, data classification, access control).
Partner with business and IT leaders to translate business needs into architectural decisions and to maximize the value of CNH's information assets.
Experience Required General Bachelor's degree in Computer Science, Information Technology, Engineering or equivalent experience. Minimum 7+ years in data architecture / data engineering / data modeling roles. Available for occasional business travel.
Functional
Strong business-domain, information and process understanding; ability to relate architectural decisions to business value. Mastery of data modeling and data architecture patterns (dimensional, data vault, medallion/Lakehouse).
reference-architecture design. Working knowledge of data governance and data quality principles (the role applies them and collaborates with the Data Governance function, but does not own governance).
Technical Databricks
Lakehouse (core requirement): Apache Spark, Delta Lake, Unity Catalog, Workflows/Jobs, Delta Live Tables, MLflow.
Cloud: Azure (Azure Data Lake Storage; Databricks on Azure); AWS knowledge a plus.
Data integration & movement: ETL/ELT, CDC, batch & streaming (e.g.
Structured
Streaming, Kafka/Event Hubs).
Storage & modeling: Lakehouse / medallion architecture, Data Warehouse, dimensional & data-vault modeling. SQL plus solid Python/Spark; awareness of AI/GenAI data enablement (vector search, semantic layers, feature stores).
Methodology
Agile / SAFe, DevOps & DataOps delivery practices. Intellectual curiosity, learning agility and a technology-oriented mindset. Nice to have Certifications such as Databricks Data Engineer Professional / Lakehouse, Azure Data Engineer/Solutions Architect.
Pay Transparency The annual salary for this role is EUR €60,000.00 - €92,000.00 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.) If a different location is considered, the applicable salary range will be communicated to candidates prior to the first interview. That's why we offer a comprehensive benefits program designed to support your health, well‐being, and long‐term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered—both personally and professionally.
We believe that when you're given the tools to thrive, you can drive meaningful impact.