Data Architect & Engineering Lead

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

Vantaggi offerti da questo lavoro

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国际ally

Descrizione del lavoro

Motork is seeking a Data Architect & Engineering Lead to own and shape the data platform, guiding a small two-person team and setting technical direction. You will drive modern data practices and apply agentic AI concepts to automate workflows for our automotive SaaS business.

You will design end-to-end data modeling and infrastructure, define a roadmap for the warehouse, transformations, and orchestration, and lead production pipelines with dbt, Airflow and Airbyte.

Competenze

• Strong experience designing data platforms and governance.
• Proven ability to lead a small data team while hands-on.
• Expertise with modern data tooling for warehousing and pipelines.

Mansioni

• Own end-to-end data modeling architecture for the platform.
• Define target data infra and roadmap (warehouse, transformation, orchestration).
• Lead production pipelines using dbt, Airflow and Airbyte; write production Python.
• Architect for batch and streaming use cases (Kafka or similar).
• Advance agentic AI incorporation into data platform operations.
• Mentor a 2-person data team through reviews and pairing.
• Ensure data quality, testing, documentation and delivery predictability.
• Collaborate with product, engineering and business to translate requirements.

Conoscenze

Data modeling

Data architecture

Python

DBT

Airflow

Airbyte

BigQuery

Redshift

Snowflake

Kafka

Leadership

Communication

Cross-functional collaboration

Strumenti

DBT

Airflow

Airbyte

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 varese, lombardia, it