Observability & Operational Excellence

• Establish and maintain monitoring, alerting, logging, and observability frameworks for data workloads and platform services.
• Lead incident investigation, root cause analysis, and resolution efforts to ensure high platform reliability.
• Drive improvements in operational processes and system resilience.

Engineering Excellence & Knowledge Sharing

• Participate in architecture discussions, design reviews, and code reviews.
• Promote software engineering best practices, maintainability, testing, and reliability standards.
• Mentor team members and contribute to a culture of collaboration, learning, and continuous improvement.

Platform Improvement & Developer Experience

• Identify opportunities to enhance tooling, automation, workflows, and platform usability.
• Improve developer productivity by simplifying platform interactions and reducing operational complexity.
• Drive initiatives that improve the overall experience for platform consumers.

Planning & Delivery

• Contribute to roadmap planning, prioritization, and execution of platform initiatives.
• Break down complex technical challenges into achievable project milestones and deliverables.
• Support delivery of solutions that balance performance, scalability, and business value.

Required Qualifications

• Strong experience in Software Engineering, Data Platform Engineering, or Data Infrastructure Engineering.
• Proficiency in one or more programming languages such as Python, Java, or Scala.
• Experience building and supporting production-grade applications and distributed systems at scale.
• Strong understanding of cloud-native architectures and modern platform engineering principles.
• Experience designing, developing, and maintaining scalable data processing solutions.
• Knowledge of Kubernetes, containerized applications, and cloud environments.
• Strong SQL skills and experience working with large-scale datasets.
• Experience implementing monitoring, logging, alerting, and operational support practices.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with large-scale data processing frameworks such as Spark or similar distributed computing platforms.
• Familiarity with modern data transformation and data modeling practices.
• Understanding of data lake, lakehouse, or modern data platform architectures.
• Experience with cloud-native storage, messaging, and data services.
• Knowledge of workflow orchestration and scheduling platforms.
• Familiarity with schema management, data cataloging, metadata management, and data governance principles.
• Experience working with event-driven architectures and distributed systems.
• Knowledge of infrastructure automation, platform tooling, and developer enablement solutions.
• Exposure to Golang or similar systems programming languages is highly valued.

Key Skills

• Data Platform Engineering
• Cloud-Native Architecture
• Kubernetes & Containerization
• Python / Java / Scala
• Distributed Data Processing
• SQL & Data Modeling
• Data Pipeline Development
• Observability & Monitoring
• Incident Management
• Platform Reliability Engineering
• Workflow Orchestration
• Developer Experience & Platform Enablement

What You'll Gain

• Opportunity to build and shape next-generation enterprise data platforms.
• Exposure to large-scale cloud infrastructure, analytics platforms, and modern data architectures.
• Collaboration with highly skilled engineers, platform architects, and data professionals.
• Ownership of impactful platform capabilities that support organization-wide data initiatives.
• A culture focused on innovation, engineering excellence, continuous learning, and professional growth.