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Manager Clickhouse Jobs in Arizona (NOW HIRING)

Manager Clickhouse information

What is the difference between Manager Clickhouse vs Data Engineer?

AspectManager ClickhouseData Engineer
Primary FocusOversees Clickhouse database management, team coordination, and strategyDesigns, develops, and maintains data pipelines and infrastructure
Required SkillsDatabase administration, team leadership, project managementETL processes, SQL, programming, data modeling
CertificationsDatabase management, cloud certifications, project managementData engineering, cloud, and programming certifications
Work EnvironmentManagement, strategic planning, team collaborationTechnical development, coding, data architecture

The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.

What are the most commonly searched types of Clickhouse jobs in Arizona?

The most popular types of Clickhouse jobs in Arizona are:

What job categories do people searching Manager Clickhouse jobs in Arizona look for?

The top searched job categories for Manager Clickhouse jobs in Arizona are:

What cities in Arizona are hiring for Manager Clickhouse jobs?

Cities in Arizona with the most Manager Clickhouse job openings:

Site Reliability Engineer (SRE) (Only W2)

Scottsdale, AZ • On-site

$48/hr

Other

Posted 9 days ago


Job description

Site Reliability Engineer (SRE)
Duration: 6 Months

Pay Rate: $48/HR
Work Mode: Hybrid
Interview Type:  Interview would be conducted in multiple rounds with different panels focused on Technical Skills & Experience.
Location: 

Scottsdale, Arizona 85260 (Local candidates will be the first preference)

We are seeking a Site Reliability Engineer with strong experience in cloud-native operations, observability, automation, and production support for large-scale enterprise applications.

Skillset required:

·        3-5 years of experience in Site Reliability Engineering, Production Operations, or Platform Engineering supporting large-scale, high-performance applications across hybrid environments (on-premises and cloud).

·        3-5 years of experience developing automation scripts and building Application Performance Management (APM) dashboards to monitor end-to-end transaction journeys.

·        Hands-on programming experience (2+ years) with one or more languages such as Go, Python, Java, or Rust.

·        Working knowledge of relational and NoSQL databases including Oracle, SQL Server, PostgreSQL, MongoDB, Redis, ClickHouse, PL/SQL, or time-series databases.

·        Experience with cloud migration and containerization initiatives using Google Cloud Platform, AWS, Azure, Rancher, OpenShift, or similar platforms.

·        Experience managing containerized applications in Kubernetes environments such as GKE, RKE, or AKS.

·        Strong experience implementing observability solutions using Open Telemetry (OTEL), distributed tracing, monitoring, and incident management.

·        Familiarity with GraphQL frameworks such as Apollo, Prisma, or Hasura.

·        Strong networking fundamentals including TCP/IP, HTTP, DNS, load balancing, and service mesh technologies.

·        Experience participating in 24x7 on-call rotations and meeting incident response SLAs.

Preferred Qualifications:

·        Experience managing highly available, customer-facing platforms with a focus on reliability, automation, and operational excellence.

·        Hands-on experience with monitoring and observability tools such as Splunk, Dynatrace, AppDynamics, Grafana, and Prometheus.

·        Experience with CI/CD and Agile tools such as Rally, Confluence, and related DevOps platforms.

·        Knowledge of in-memory caching technologies, especially Redis.

·        Strong troubleshooting and debugging skills across distributed systems and API gateway architectures.

·        Experience with Google Cloud services including GCS, Cloud SQL, Spanner, and BigQuery.

·        Experience supporting HashiCorp Vault environments.

·        Exposure to Vertex AI, Generative AI, and cloud-based analytics platforms.