Lead Development Platform Engineering
Role Overview
This hands-on Lead Platform Engineer role is in the Data & Analytics organization.
The role builds enterprise-scale observability, reliability, and intelligent automation capabilities for data platforms.
The work focuses on monitoring pipelines, improving data quality, detecting anomalies, reducing operational risk, optimizing cloud cost, and increasing trust in data products.
Key Skills for This Role
Full Job Posting
Role Overview
This hands-on Lead Platform Engineer role is in the Data & Analytics organization.
The role builds enterprise-scale observability, reliability, and intelligent automation capabilities for data platforms.
The work focuses on monitoring pipelines, improving data quality, detecting anomalies, reducing operational risk, optimizing cloud cost, and increasing trust in data products.
Primary Responsibilities
- Lead the vision and roadmap for AI and intelligent automation in enterprise data reliability, observability, and platform operations.
- Architect scalable frameworks for real-time monitoring, logging, alerting, anomaly detection, data quality tracking, and operational insights.
- Build AI-, metadata-, lineage-, and telemetry-based observability to detect issues, speed root cause analysis, assess business impact, and automate operations.
- Evaluate and prototype technologies and approaches to detect schema drift, data drift, freshness degradation, volume anomalies, reconciliation issues, and other risks.
- Collaborate across data engineering, platform, operations, architecture, product, and governance to define requirements and deliver reliability solutions.
- Define reliability KPIs, service health indicators, and observability metrics for critical data products and platforms.
- Lead root cause analysis for reliability incidents and implement preventive actions.
- Optimize platform performance, scale, reliability, resilience, and cost efficiency.
- Drive adoption through documentation, playbooks, dashboards, training materials, and enablement sessions.
- Align solutions with enterprise security, compliance, governance, availability, and operational standards.
- Mentor engineers and provide technical leadership across design, development, automation, and operational readiness.
- Modernize platforms, improve developer productivity with AI-assisted engineering, and improve enterprise data-product reliability.
Qualifications
- 8+ years in platform engineering, cloud engineering, data engineering, DevOps, or similar technology roles.
- Strong experience designing, building, and operating solutions on GCP or AWS.
- Deep understanding of cloud infrastructure, cloud operations, distributed systems, and enterprise-scale platform reliability.
- Strong programming and scripting using Python, SQL, Bash, or similar languages.
- Experience with Docker and Kubernetes or similar containerization and orchestration technologies.
- Experience with Terraform, CloudFormation, Ansible, or equivalent infrastructure-as-code and automation tools.
- Experience with CI/CD, DevOps practices, release automation, and engineering productivity improvements.
- Demonstrated ability to use AI-assisted engineering and intelligent automation to improve development velocity.
Opportunity
The role offers enterprise-scale platform challenges and emphasizes innovation, ownership, engineering excellence, continuous learning, and career growth.
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