Staff Software Engineer (DPE)

• Build platform tooling for multi-region, multi-tenant data infrastructure using modern open-source and cloud-native technologies.
• Lead engineering efforts around CDC pipelines using Debezium, enabling reliable change capture from application databases.
• Shape the developer experience for data engineers, from ingestion to publishing and consumption, with metadata-aware automation.
• Drive the evolution of data serving infrastructure using Trino and open table formats like Delta Lake or Iceberg.
• Work at the intersection of data engineering, infrastructure, and platform strategy, directly influencing core architectural decisions.

• Design and implement foundational frameworks for ingestion, orchestration, schema validation, and metadata management.
• Build robust, scalable pipelines for Change Data Capture (CDC) using Debezium integrated with Kafka and Spark.
• Develop internal tooling to standardize and accelerate data ingestion, transformation, and publishing workflows.
• Optimize data serving layers powered by Trino, including metadata syncing, security filtering, and performance tuning.
• Partner with SRE and Infra teams to build autoscaling, self-healing, and cost-optimized Spark jobs on AWS EMR.
• Implement observability features logs, metrics, alerts for critical platform services and data pipelines.
• Define and enforce standards for schema evolution, lineage tracking, and data governance.
• Automate platform operations using CI/CD pipelines, metadata-driven configurations, and infrastructure-as-code.

Desired Skills & Experience

• 8+-12 years of experience in data platform, infrastructure, or backend systems engineering roles.
• Strong systems engineering fundamentals distributed systems, fault tolerance, performance tuning.
• Expertise in Apache Spark with production experience on AWS EMR.
• Experience building or managing CDC pipelines using tools like Debezium, Kafka Connect, or custom connectors. Familiarity with streaming systems such as Kafka, Kinesis, or Flink.
• Experience serving data using Trino or Presto in a multi-tenant environment.
• Proficiency in Python, Java or Scala, and Unix/Linux systems.
• Strong understanding of open table formats like Delta Lake or Apache Iceberg.
• Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD automation.

Preferred Mindset

• Platform-first thinker designs systems for scale, abstraction, and reusability
• Builders bias values automation, clean interfaces, and measurable SLAs
• Deep collaborator partners well across Data, Infra, and Engineering teams
• Operational discipline understands the impact of monitoring, logging,and reliability