Data Architect

InterEx Group; Lombardia; In loco; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

InterEx Group is seeking a senior data architect/engineer to design scalable data processing and analytics solutions for big data storage and consumption in Lombardy. You will lead EDW, BI reporting, and dashboard initiatives, while guiding data governance, security, and modeling practices.

The role demands strong SQL, scripting, and cloud platform expertise, with Python/Scala/Java as valued adds. You will collaborate with stakeholders, define blueprints, and create comprehensive technical

Competenze

• Bachelor’s degree in STEM.
• 5+ years of data engineering experience and 3+ years as a data architect.
• Extensive hands-on experience leading large-scale EDW, BI reporting, and dashboard projects.
• Knowledge of data lake/lakehouse architectures and NoSQL storage.
• Strong data modelling techniques and domain data modeling.
• Hands-on ETL/ELT design and tuning experience.
• Excellent SQL and scripting skills.
• Experience with data governance and data security practices.
• Familiarity with Microsoft Azure (or AWS/GCP).
• Experience with modern programming languages (Python, Scala, Java) is a plus.
• Exposure to designing on-demand analytics systems and Databricks is beneficial.

Mansioni

• Architect scalable data processing and analytics solutions for big data storage, processing, and consumption.
• Articulate pros and cons of technologies and platforms while proposing solutions.
• Define architecture blueprints, accelerators, and interoperability standards.
• Define data security and data privacy standards for solutions.
• Drive evolution of data architecture.
• Lead architectural discussions and design workshops with stakeholders.
• Create technical documentation.

Conoscenze

Data engineering

Data architecture

EDW

BI reporting

Dashboard development

SQL

Python

Scala

Java

Cloud platforms

Formazione

Bachelor's degree in STEM

Strumenti

Azure

AWS

GCP

Databricks

Descrizione del lavoro

• Architect scalable data processing and analytics solutions for big data storage, processing, and consumption.
• Clearly, articulate the pros and cons of various technologies and platforms while proposing solutions.
• Prior experience on cloud platform (AWS/Azure/GCP)
• Define architecture, blueprints/patterns, accelerators & interoperability standards.
• Define data security and data privacy standards for solutions.
• Drive the evolution of data architecture.
• Lead architectural discussions and design workshops with internal stakeholders.
• Create technical documentation.

About You:

• You have a bachelor’s degree in STEM.
• You have more than 5+ years of data engineering experience, and 3+ years as a data architect.
• Extensive hands‑on experience in leading large‑scale full‑cycle enterprise data warehousing (EDW), BI reporting, and dashboard development projects.
• You understand the latest database and analytical technologies including data lake/lakehouse architectures and NoSQL storage.
• You have a strong understanding of data modelling techniques and are experienced in building domain data models.
• You have hands‑on experience with designing and tuning ETL/ELT pipelines.
• You bring along your excellent SQL and strong hands‑on scripting ability.
• You have already planned data governance and data security practices. Experience in semantic and metamodeling is a plus.
• Confidence with Microsoft Azure (or AWS, GCP) platform.
• Prior engineering experience using modern programming languages (Python, Scala, Java, etc.) is a big plus.
• Prior experience with designing on-demand analytics systems is a plus.
• Prior exposure to Databricks is good to have.