Site Reliability Engineer - ED&A (R26_0000031016)

• Performs reliability and operational engineering for the Enterprise Data & Analytics platform, including Google BigQuery, Microsoft Fabric, Power BI, Power Platform, associated data pipelines, integrations, automation, reporting services, and dependent cloud services.
• Establishes and governs service-level indicators, service-level objectives, error budgets, availability targets, performance baselines, monitoring standards, alerting practices, dashboards, runbooks, and operational health metrics for EDA services.
• Analyzes telemetry from monitoring, logging, tracing, platform administration, pipeline execution, query performance, capacity, consumption, and cost-management tools to identify reliability, performance, security, scalability, and efficiency improvements.
• Partners with data engineering, application, cloud, security, governance, analytics, and infrastructure teams to improve platform design, integration patterns, deployment practices, release readiness, supportability, resilience, and production operations.
• Drives automation for provisioning, deployment, remediation, monitoring configuration, environment validation, job and pipeline health checks, alert enrichment, access reviews, incident response workflows, and operational reporting.
• Guides capacity planning, performance tuning, resilience engineering, disaster recovery planning, backup and restore validation, service continuity planning, architecture reviews, and production readiness assessments for EDA services.
• Troubleshoots and resolves incidents involving data and analytics platforms, workloads, integrations, pipelines, APIs, automation flows, connectors, workspaces, gateways, permissions, queries, semantic models, and platform dependencies.
• Drives incident response, root-cause analysis, post-incident reviews, corrective actions, and reliability improvement plans to reduce recurrence, improve operational maturity, and strengthen customer experience.
• Provides technical guidance, engineering standards, implementation patterns, peer support, operational reviews, documentation practices, and reliability expectations for engineers supporting the EDA platform.
• Promotes secure, compliant, cost-effective, and well-governed data and analytics operations by supporting access controls, data protection practices, platform governance, resource utilization reviews, lifecycle management, and operational reporting.

Typically requires a bachelor's degree and five (5) to seven (7) years of experience in a technology and/or software engineering role or an equivalent combination.

• Advanced understanding of SRE principles, including reliability engineering, observability, automation, incident response, root-cause analysis, post-incident improvement, service-level indicators, service-level objectives, error budgets, and production readiness.
• Experience performing reliability, operations, or engineering support for enterprise data and analytics platforms used for reporting, data engineering, integration, automation, business intelligence, and business productivity workloads.
• Experience with Google Cloud data services such as BigQuery, Cloud Storage, Cloud Logging, Cloud Monitoring, IAM, networking concepts, and workload or job performance troubleshooting.
• Experience with Microsoft Azure services and operational capabilities, including Azure Monitor, Log Analytics, Azure networking, identity and access management, resource management, and cloud-native administration.
• Experience with Microsoft Fabric, Power BI, Power Platform, Power Automate, Power Apps, gateways, connectors, workspaces, data pipelines, semantic models, and platform administration concepts.
• Ability to monitor, troubleshoot, and tune platform performance, capacity, reliability, availability, jobs, queries, pipelines, APIs, integrations, automation flows, and dependent services.
• Knowledge of identity, access, security, data governance, compliance, data protection, backup, recovery, and change-management practices for enterprise data and analytics platforms.
• Experience creating and governing operational dashboards, alerting standards, runbooks, production support documentation, platform standards, reliability scorecards, and continuous improvement plans.
• Experience with automation, scripting, infrastructure as code, configuration management, and CI/CD tooling such as Azure DevOps, Terraform, PowerShell, Python, or similar tools.
• Experience with observability and monitoring platforms such as Azure Monitor, Google Cloud Monitoring, Grafana, Datadog, Dynatrace, or similar tools.
• Ability to provide technical guidance across infrastructure, security, data, application, cloud, governance, and business technology teams to improve reliability, supportability, standards adoption, operational maturity, and customer experience.
• Strong troubleshooting skills across cloud services, network dependencies, APIs, databases, operating systems, authentication, authorization, and enterprise integration patterns.
• A strong mix of software engineering, systems engineering, data platform operations, automation, production support, technical guidance, and cross-functional collaboration skills.

BUDGET RESPONSIBILITY: No

COMPANY INFORMATION: DEPLOY's client offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.