VP, Data Engineer

Overview

Hands-on data platform engineering role building and operating production data infrastructure, including Kafka, Kubernetes, Terraform, AWS and Databricks/Spark, for Galaxy Digital.

What you'll do

• Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously.
• Own monitoring, alerting and dataops practices that keep the platform reliable as it scales.
• Operate Kafka as the message broker powering cross-team event-driven architecture.
• Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes.
• Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS.
• Support dbt for transformations and Airflow (or similar) for orchestration across the platform.
• Partner with product, analytics and infrastructure teams on design and delivery of platform improvements.
• Troubleshoot production issues and drive the fixes.
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making and output quality.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years building data or platform engineering systems in production.
• Strong coding skills in Python or Java.
• Experience operating production data platforms on AWS and supporting downstream teams who build on them.
• Hands-on with Kubernetes and Terraform.
• Experience running Kafka (or a similar broker) in event-driven systems.
• Working knowledge of Databricks/Spark, dbt, and Airflow.
• Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server).
• Comfortable with CI/CD, testing frameworks, and observability tooling.

Nice to have

• Experience with dashboarding technologies.
• Experience with streaming engines (Flink, kdb).
• Full lifecycle development of a commercial system, including requirements definition, agile planning, releasing, and production support.
• Experience in Crypto.

Details

• Location: India.