1 year ago
Stockholm, SwedenSenior
Responsibilities
- Develop and maintain data lakes, warehouses, orchestration, observability, and governance infrastructure.
- Design data pipelines and implement declarative configuration for ingestion and transformation.
- Embed data quality, lineage, and security standards across workflows.
- Collaborate with Analytics Engineers on modeling conventions and schema governance.
- Implement CI/CD pipelines for data systems and support cost optimization and performance tuning.
- Define data platform best practices and enable self-service use by other teams.
Requirements
- Strong experience with cloud-based data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
- Deep understanding of data ingestion frameworks, orchestration, and infrastructure as code.
- Familiarity with event-driven architectures such as Kafka, Pub/Sub, or Kinesis.
- Proficiency in SQL and distributed systems.
- Knowledge of Go is a plus.
- Strong communication and documentation skills, with the ability to connect technical details to strategic goals.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaAWSCloudflareDatabricksGitHub ActionsGoGoogle BigQueryGoogle Cloud PlatformGrafanaReactRustSnowflakeSQLTerraform
Categories
Data Engineering
About Lovable
Lovable builds an AI-native software creation platform that lets people build apps and websites by chatting with AI, along with tools such as gptengineer.app. It serves solopreneurs, small businesses, and enterprise teams, and users have created over 60 million projects since its November 2024 launch, with customers including Adidas and Zendesk. The company is privately held and headquartered in Stockholm.