Data Platform/Infrastructure Engineer

Job summary

Responsibilities

TL;DR - We are looking for data engineers to design, build, and maintain the end-to-end declarative data platform that powers ingestion, transformation, and consumption across Lovable. You are obsessed about empowering teams to ensure data systems are scalable, reliable, safe and easy to use.

• Develop and maintain core data infrastructure (data lake, warehouse, orchestration, observability, governance).
• Partner with other platform and domain teams to design data pipelines and implement declarative configuration for ingestion and transformation.
• Ensure data quality, lineage, and security standards are embedded across all workflows.
• Collaborate with Analytics Engineers to define modeling conventions and enforce schema governance.
• Implement CI/CD pipelines for data systems and assist with cost optimization and performance tuning.

What they're looking for

• Strong experience with cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks or similar).
• Deep understanding of data ingestion frameworks, orchestration(Airflow, Dagster, Prefect or similar) and infrastructure as code (Terraform, Pulumi or similar).
• Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis or similar).
• Proficiency in SQL, and distributed systems. Knowledge in Go is a plus.
• Strong communication and documentation skills. Be able to align technical details with strategic goals.

Tech stack

• Snowflake
• BigQuery
• Databricks
• Airflow
• Terraform
• Kafka
• SQL
• React