Data Engineer IV

Key Responsibilities

• Design and implement scalable cloud-based data platforms and integration architectures.
• Develop enterprise-grade data ingestion, transformation, orchestration, and delivery pipelines.
• Architect and implement API-driven, event-based, and batch integration solutions supporting operational and analytical workloads.
• Define technical standards and best practices for data modeling, integration design, data quality, and interoperability.
• Evaluate and recommend emerging technologies, tools, and architectural patterns to improve platform capabilities.

Data Integration & Automation

• Develop and maintain reusable integration frameworks, APIs, connectors, and automation components.
• Build and support CI/CD pipelines and Infrastructure-as-Code solutions for data and integration platforms.
• Implement observability capabilities including monitoring, lineage, validation, reconciliation, logging, and alerting.
• Establish API governance, schema standards, contract testing, and integration best practices.
• Optimize platform performance, reliability, scalability, and cloud resource utilization.

Technical Leadership & Collaboration

• Provide technical leadership and guidance for complex data integration and platform initiatives.
• Collaborate with architects, engineers, security teams, cloud teams, and business stakeholders to deliver high-quality solutions.
• Lead architecture reviews, technical design sessions, and solution assessments.
• Mentor junior and mid-level engineers on engineering standards, architecture principles, and development best practices.
• Support troubleshooting and resolution of complex platforms, integration, and data engineering challenges.