Data Architect & Engineering Lead

Motork; Bardi; Ibrido; EUR 72.000 - 88.000; Tempo pieno

Vantaggi offerti da questo lavoro

26 days holiday + national holidays

30 days to work from anywhere

Flexible hybrid setup

Room to grow nationally and国际ally

Descrizione del lavoro

Motork is seeking a Data Architect & Engineering Lead to own and shape our data platform. You will design scalable data models, pipelines and warehouse architecture, guiding a small two-person team and setting technical direction across cross-functional partners.

The role emphasizes production-grade data engineering, governance, and modern data practices, with hands-on work in Python, dbt, Airflow, Airbyte, and streaming technologies to drive scalable automotive SaaS solutions.

Competenze

• Experience designing scalable data architectures and end-to-end pipelines.
• Strong background in modeling, governance and data quality practices.
• Proven ability to lead engineers technically while remaining hands-on.

Mansioni

• Own end-to-end data modeling architecture across the platform for scalability, performance and maintainability.
• Define the target data infrastructure architecture and the roadmap to reach it (warehouse, transformation, orchestration).
• Introduce modern data engineering patterns and governance for the data estate.
• Manage and optimize cloud data warehouse performance, cost and reliability.
• Design and build production-grade pipelines with dbt, Airflow and Airbyte, with hands-on ownership.
• Write production Python for pipelines, tooling and automation.
• Architect for batch and streaming use cases (Kafka or similar).
• Lead, mentor and set technical direction for a 2-person data team through reviews and pairing.
• Collaborate with product, engineering and business stakeholders to translate requirements into robust data solutions.

Conoscenze

Data modeling

Data architecture

Python

dbt

Airflow

Airbyte

Kafka

Leadership

Mentorship

Strumenti

BigQuery

Redshift

Snowflake

Descrizione del lavoro

In this role you will own and shape MotorK's data platform, building data models, pipelines and warehouse architecture while guiding a small two-person data team. You will set technical direction, maintain high engineering standards, and drive modern data practices across the platform. You’ll apply agentic AI concepts to automate workflows and enable scalable data solutions for our automotive SaaS business. This is a hands‑on, impact-driven leadership position with cross-functional collaboration.

• salary from 80,000/year
• 26 days holiday + national holidays
• 30 days/year to work from anywhere
• flexible hybrid setup
• room to grow nationally and internationally
• Own end-to-end data modeling architecture across the platform for scalability, performance and maintainability
• Define the target data infrastructure architecture and the roadmap to reach it (warehouse, transformation, orchestration)
• Introduce modern data engineering patterns and governance for the data estate
• Manage and optimize cloud data warehouse performance, cost and reliability
• Design and build production-grade pipelines with dbt, Airflow and Airbyte, with hands‑on ownership
• Write production Python for pipelines, tooling and automation
• Architect support for both batch and streaming use cases (Kafka or similar)
• Incorporate agentic AI into data platform architecture and operations
• Lead, mentor and set technical direction for a 2-person data team through reviews and pairing
• Raise quality standards: data quality, testing, documentation and delivery predictability
• Collaborate with product, engineering and business stakeholders to translate requirements into robust data solutions
• Deep hands‑on expertise in data modeling and data architecture
• Production experience with cloud data warehouses (BigQuery, Redshift, Snowflake or equivalent)
• Hands‑on experience with dbt, Airflow and Airbyte in production
• Strong Python skills for data engineering pipelines and tooling
• Familiarity with modern data engineering concepts and AI trends
• Kafka or other streaming technologies is a plus
• Proven ability to lead engineers technically while remaining hands‑on
• Clear communicator with technical and non-technical stakeholders
• Bias to action and fast iteration in the face of incomplete information
• communication
• mentorship and leadership
• cross-functional collaboration
• Cloud data warehouse expertise (BigQuery, Redshift, Snowflake)
• DBT
• Airflow

Data Architect & Engineering Lead pavia, lombardia, it