Senior Data Infrastructure Engineer

Job Description:

The Opportunity 

The Senior Data Infrastructure Engineer will play a pivotal role in scaling and evolving our production data infrastructure. You’ll join a collaborative, cross-functional team composed of Data, Infrastructure, and QA specialists, and will act as a technical leader within that group. This role combines deep technical work with mentorship and strategic influence: you’ll guide architectural decisions, champion best practices, and ensure our infrastructure meets the demands of a growing data platform. You’ll also help define the technical roadmap, align infrastructure initiatives with business priorities, and coach other engineers in their development. As a senior member of the team, your work will have a visible and direct impact on the scalability, reliability, and velocity of data initiatives across the company. 

What We Can Offer You 

• Design and implement scalable, secure, and cost-effective infrastructure to support data-intensive workloads across batch and streaming systems. 

• Lead the architecture and implementation of monitoring solutions that go beyond basic alerting to include service-level objectives (SLOs), error budgets, and anomaly detection. 

• Drive performance optimization across storage, compute, and networking, including deep dives into Redshift, Spark, and Iceberg workloads. 

• Maintain and improve infrastructure automation using Terraform and CI/CD systems, with a focus on reusability, consistency, and testing. 

• Act as technical lead during incident response, coordinating efforts across teams, guiding root cause analysis, and embedding learnings through post-incident reviews. 

• Forecast capacity and resource needs based on platform growth, supporting both reactive and proactive scaling strategies. 

• Track and optimize infrastructure spend while maintaining performance SLAs and reliability goals. 

• Collaborate with security and data governance teams to implement secure-by-design infrastructure and ensure compliance with internal and external data policies. 

• Partner closely with data engineering and analytics teams to understand platform needs, troubleshoot production issues, and accelerate delivery of data products. 

• Influence tooling and process improvements across the engineering organization, including adoption of Kubernetes-native patterns, GitOps workflows, and event-driven architecture. 

The Skills You Will Bring 

• At least 6+ years of experience managing cloud infrastructure, with deep experience in data infrastructure and modern cloud-native architectures. 

• Strong expertise in AWS services, particularly Redshift, EKS, S3, IAM, and networking. Familiarity with Athena, EMR, Apache Spark, Kafka, Iceberg, Airflow, and similar data-centric tools. 

• Extensive experience with Infrastructure as Code (IaC) and Terraform, including the design of modular and reusable infrastructure components. 

• Proficient in Python or similar languages for scripting, automation, and contributing to internal tooling. 

• Solid understanding of Kubernetes operations, Helm/Kustomize, and running both stateless and stateful workloads in production. 

• Strong grasp of multi-environment and multi-account cloud strategies, including shared VPCs, cross-account IAM, and centralized observability. 

• Familiarity with data security, including encryption, audit logging, and access control mechanisms aligned with GDPR or similar frameworks. 

• Proven track record of mentoring engineers, fostering inclusive technical discussions, and leading by example.