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Data Platform Engineer

Build and operate a declarative data platform supporting ingestion, transformation, and consumption. The role requires cloud data platform, orchestration, infrastructure-as-code, event-driven architecture, SQL, and distributed systems expertise.

About the job

Responsibilities

  • Develop and maintain core data infrastructure, including data lakes, warehouses, orchestration, observability, and governance.
  • Partner with 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 workflows.
  • Collaborate with Analytics Engineers to define modeling conventions and enforce schema governance.
  • Implement CI/CD pipelines for data systems.
  • Support cost optimization and performance tuning.
  • Define data platform best practices and enable self-service adoption.

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.
  • Proficiency in SQL and distributed systems.
  • Strong communication and documentation skills.
  • Ability to align technical details with strategic goals.

Nice-to-haves

  • Knowledge of Go.

Compensation and Benefits

  • No compensation or benefits information provided.

Skills

Snowflake, BigQuery, Amazon Redshift, Databricks, Apache Airflow, Dagster, Prefect, Terraform, Pulumi, Apache Kafka, Google Pub/Sub, Amazon Kinesis, SQL, Distributed Systems, Go

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