Data Architect & Engineering Lead

ppIn 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. /pullisalary from 80,000/year /lili26 days holiday + national holidays /lili30 days/year to work from anywhere /liliflexible hybrid setup /liliroom to grow nationally and internationally /liliOwn end-to-end data modeling architecture across the platform for scalability, performance and maintainability /liliDefine the target data infrastructure architecture and the roadmap to reach it (warehouse, transformation, orchestration) /liliIntroduce modern data engineering patterns and governance for the data estate /liliManage and optimize cloud data warehouse performance, cost and reliability /liliDesign and build production-grade pipelines with dbt, Airflow and Airbyte, with hands-on ownership /liliWrite production Python for pipelines, tooling and automation /liliArchitect support for both batch and streaming use cases (Kafka or similar) /liliIncorporate agentic AI into data platform architecture and operations /liliLead, mentor and set technical direction for a 2-person data team through reviews and pairing /liliRaise quality standards: data quality, testing, documentation and delivery predictability /liliCollaborate with product, engineering and business stakeholders to translate requirements into robust data solutions /liliDeep hands-on expertise in data modeling and data architecture /liliProduction experience with cloud data warehouses (BigQuery, Redshift, Snowflake or equivalent) /liliHands-on experience with dbt, Airflow and Airbyte in production /liliStrong Python skills for data engineering pipelines and tooling /liliFamiliarity with modern data engineering concepts and AI trends /liliKafka or other streaming technologies is a plus /liliProven ability to lead engineers technically while remaining hands-on /liliClear communicator with technical and non-technical stakeholders /liliBias to action and fast iteration in the face of incomplete information /lilicommunication /lilimentorship and leadership /lilicross-functional collaboration /liliCloud data warehouse expertise (BigQuery, Redshift, Snowflake) /liliDBT /liliAirflow /li /ulpData Architect Engineering Lead varese, lombardia, it /p /p #J-18808-Ljbffr