Staff Hadoop Admin & Tableau Admin - Big Data - Federal

ServiceNow • Santa Clara, CA

83d • $163,600 - $286,300

About The Position

As a Staff DevOps Engineer on our Big Data Federal Team, you will help deliver 24x7 support for our Cloud infrastructure. The Big Data team plays a critical and strategic role in ensuring that ServiceNow can exceed the availability and performance SLAs of the ServiceNow Platform-powered Customer instances - deployed across the ServiceNow cloud and Azure cloud. Our mission is to deliver state-of-the-art Monitoring, Analytics and Actionable Business Insights by employing new tools, Big Data systems, Enterprise Data Lake, AI, and Machine Learning methodologies that improve efficiencies across a variety of functions in the company: Cloud Operations, Customer Support, Product Usage Analytics, Product Upsell Opportunities, enabling a significant impact on both the top-line and bottom-line growth.

Requirements

• 6+ years of experience working with systems such as HDFS, Yarn, Hive, HBase, Kafka, RabbitMQ, Impala, Kudu, Redis, MariaDB, and PostgreSQL.
• Deep understanding of Hadoop / Big Data Ecosystem.
• Hands-on experience with Kubernetes in a production environment.
• Deep understanding of Kubernetes architecture, concepts, and operations.
• Strong knowledge in querying and analyzing large-scale data using VictoriaMetrics, Prometheus, Spark, Flink, and Grafana.
• Experience supporting CI/CD pipelines for automated applications deployment to Kubernetes.
• Strong Linux Systems Administration skills.
• Strong scripting skills in Bash, Python for automation routine tasks.
• Proficient with Git and version control systems.
• Familiarity with Cloudera Data Platform (CDP) and its ecosystem.
• Experience as a Tableau administrator, configuring and administering Tableau Server with knowledge of Tableau Server best practices for scalability, performance, content management and governance.
• Familiarity with Tableau Services Manager (TSM).

Nice To Haves

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.

Responsibilities

• Responsible for deploying, monitoring, maintaining and supporting Big Data infrastructure and applications on ServiceNow Cloud and Azure environments.
• Deploy, scale, and manage containerized Big Data applications using Kubernetes, docker, and other related tools.
• Proactively identify and resolve issues within Kubernetes clusters, containerized applications, and data pipelines.
• Provide expert-level support for incidents and perform root cause analysis.
• Triage network-related issues in a containerized environment.
• Provide production support to resolve critical Big Data pipelines, application issues, and mitigating or minimizing any impact on Big Data applications.
• Collaborate closely with Site Reliability Engineers (SRE), Customer Support (CS), Developers, QA and System engineering teams in replicating complex issues leveraging broad experience with UI, SQL, Full-stack and Big Data technologies.
• Responsible for enforcing data governance policies and the Definition of Done (DoD) in all Big Data environments.
• Install, configure, and upgrade Tableau Server in a clustered environment.
• Manage user licensing, site administration, and content permissions.
• Monitor Tableau Server performance, health, and usage; perform tuning to ensure optimal performance.
• Automate server monitoring and maintenance tasks using scripting (e.g., PowerShell, Python) and the Tableau Services Manager (TSM) CLI.
• Manage Tableau data source connections, extracts, and refresh schedules.
• Implement and manage security best practices for the Tableau environment, including user authentication (SAML, Active Directory) and content-level security.

Benefits

• Health plans, including flexible spending accounts.
• 401(k) Plan with company match.
• Employee Stock Purchase Plan (ESPP).
• Matching donations.
• Flexible time away plan.
• Family leave programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services