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Manager Clickhouse Jobs in Seattle, WA (NOW HIRING)

SAP TM Product Manager

Renton, WA · On-site

$98K - $127K/yr

Familiarity with analytical data platforms (ClickHouse, Snowflake, or similar) used alongside SAP ... Comfortable managing multiple concurrent workstreams in a fast-moving environment, with clear ...

... Clickhouse or other OLAP databases. • Deep understanding of release automation, CI/CD, and code lifecycle management. • Familiarity with gRPC and experience building shared infrastructure ...

Director, Software Engineering

Seattle, WA · Hybrid

$287K/yr

... Clickhouse/Azure Data Explorer , this platform addresses the challenges of information overload by making observability accessible to everyone. You will manage a multidisciplinary team of backend ...

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

Our hiring managers write their job posts, choose their words intentionally, and use this as an ... NextJS Experience * Clickhouse Experience * Pixel perfect Web UI building * Data Engineering ...

Senior Software Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Experience working with ClickHouse or similar high-volume analytical / columnar databases (for ...

Director, Software Engineering

Seattle, WA · On-site

$287K/yr

... Clickhouse/Azure Data Explorer , this platform addresses the challenges of information overload by making observability accessible to everyone. You will manage a multidisciplinary team of backend ...

Cloud Dev AI Ops Engineer

Renton, WA · Hybrid

$92K - $114K/yr

Postgres, ClickHouse. * On-premises hardware management experience (Proxmox). Work Schedule & Environment * Full time schedule of minimum 8 hours per day with flexibility to complete all required job ...

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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 Seattle, WA? The most popular types of Clickhouse jobs in Seattle, WA are:
What are popular job titles related to Manager Clickhouse jobs in Seattle, WA? For Manager Clickhouse jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Manager Clickhouse jobs? Cities near Seattle, WA with the most Manager Clickhouse job openings:

Engineering Manager - Data Engineering & Insights

Otter

Seattle, WA • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Otter is a company dedicated to helping restaurateurs succeed in online food delivery through innovative technology solutions. The Engineering Manager will lead a team to develop a next-generation intelligence platform, managing data pipelines and ensuring high-quality analytics to empower restaurant partners.
Responsibilities:
• Own Otter Insights End-to-End: Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics).
• Manage Ingestion to Serving: Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams.
• Scale the Semantic Layer: Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing.
• Drive Data Governance: Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality.
• Ship High-Performance Products: Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs.
• Deploy Safe AI Insights: Build automated AI insights on top of governed metrics, implementing strict guardrails, observability, and customer-impact triage.
• Build and Coach the Team: Hire, mentor, and retain a cross-functional team of analytics engineers and full-stack/frontend engineers while setting technical direction across the stack.
Qualifications:
Required:
• 4+ years of experience leading engineering teams across both data/platform and product domains
• Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)
• A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products
• Experience implementing data lineage, catalogs, compliance, and quality frameworks
• Ability to collaborate closely with PMs, designers, and executive stakeholders
• Comfort owning end-to-end operational health, monitoring incidents, and managing on-call rotations from the data pipeline down to the user interface.
• A genuine interest in establishing AI-ready data foundations and building AI-enabled insights on top of certified metrics and metadata.
• Hands-on experience with SQLMesh, dbt, and Cube.
• Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools)
• ClickHouse, Pinot, or Trino
• Data access controls, platform hardening, and permissioned sharing
• Engineering experience across React, TypeScript, and Java (or Kotlin/Scala)
• Building dashboards, custom charts, automated report scheduling, and data exports
• Designing and implementing secure, permissioned data-sharing APIs
Preferred:
• Restaurant, marketplace, or delivery analytics.
• Familiarity with Otter Business Manager is a plus.
Company:
Otter is a restaurant management software that provides food delivery services. It is a sub-organization of Atoms. Founded in 2020, the company is headquartered in Beverly Hills, USA, with a team of 501-1000 employees. The company is currently Late Stage.