Senior Data Architect

Luxoft; Lazio; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy is seeking an experienced Platform Engineer to manage and optimize data platforms, ensuring high performance and security. The ideal candidate will have a strong background in data engineering with at least 10 years of IT experience, including expertise in cloud services and data platform tools. This role offers flexibility and a vibrant company culture focused on talent development.

Servizi

Flexible work schedule

Great company culture

Talent development ecosystem

Regular team-building activities

Discounts for employees

Competenze

• Minimum 10 years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• Expertise in writing and optimizing SQL queries.

Mansioni

• Manage and optimize data platforms.
• Ensure high availability, security, and performance of data systems.
• Provide valuable insights about data platform usage.

Conoscenze

Data platform optimization

Proficiency in PySpark

Expertise in SQL

Experience with cloud platforms (Azure, AWS)

Version control using Git

Data quality assurance

Formazione

Bachelor's in IT or related field

Strumenti

Databricks

Palantir

Snowflake

ETL tools

Prometheus

Grafana

Descrizione del lavoro

Project description

We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.

Responsibilities

• Manage and optimize data platforms (Databricks, Palantir).
• Ensure high availability, security, and performance of data systems.
• Provide valuable insights about data platform usage.
• Optimize computing and storage for large-scale data processing.
• Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
• Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability.

Must have

• Minimum 10 Years of experience in IT / Data.
• Minimum 5 years of experience as a Data Platform Engineer / Data Engineer.
• Bachelor's in IT or related field.
• Infrastructure & Cloud: Azure, AWS (expertise in storage, networking, compute).
• Data Platform Tools: Any of Palantir, Databricks, Snowflake.
• Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
• SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
• ETL Tools: Familiarity with ETL tools & processes.
• Data Modelling: Experience with dimensional modelling, normalization / denormalization, and schema design.
• Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
• Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
• Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.

Nice to have

• Containerization & Orchestration: Docker, Kubernetes.
• Infrastructure as Code (IaC): Terraform.
• Understanding of Investment Data domain (desired).

Benefits

• Flexible work schedule.
• Great company culture and friendly environment.
• Work within a fast-moving, exciting, and challenging environment.
• Talent development ecosystem.
• Luxoft Training Center services with ad-hoc leadership and technical programs.
• Knowledge sharing in professional communities.
• Meetings for knowledge sharing, celebrations, and brainstorming: your ideas count!
• Regular team-building activities.
• Variety of discounts for our employees.