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Manager Clickhouse Jobs in Alabama (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 Alabama? The most popular types of Clickhouse jobs in Alabama are:
What are popular job titles related to Manager Clickhouse jobs in Alabama? For Manager Clickhouse jobs in Alabama, the most frequently searched job titles are:

Solutions Architect - Hybrid

Mission Pet Health

Birmingham, AL • On-site

$59 - $77.75/hr

Other

Re-posted 9 days ago


Job description

Job Description

At Mission Pet Health, our passion for pets and their families fuels our ambition to build the world's greatest veterinary organization. We are scaling toward 1,000 hospitals and 20,000+ teammates, and the data behind that growth runs across hundreds of clinical, financial, HR, and marketing systems. We're hiring a Solutions Architect to own the end-to-end design of the platform that ties it all together — and to stay hands-on while doing it. This is a hybrid opening in Birmingham, AL.


KEY RESPONSIBILITIES

  • Own the target-state architecture for the data platform end-to-end — ingestion, storage, modeling, serving, and governance.
  • Set the direction for our analytical layer on SQL Server, SSAS, and ClickHouse, and for our integration fabric across Azure Data Factory, REST APIs, NATS, and CDC.
  • Design and operate event-driven, service-oriented workloads on Kubernetes in Go and Python.
  • Make AI-driven development a core focus of the team: build and adopt agentic tooling (code-aware agents, retrieval over our own schemas and lineage) so engineers ship faster, with better tests and documentation, and so routine work gets automated rather than repeated.
  • Define the data contracts, schema standards, and quality SLAs that engineering and analytics teams build against.
  • Embed PII/PHI handling, access control, and auditability into the platform
  • Mentor engineers, lead design reviews, and translate executive intent into delivery roadmaps.

Responsibilities and Benefits

REQUIRED EXPERIENCE

  • 8+ years across data engineering, software engineering, or platform architecture
  • Deep hands-on experience with T-SQL, SQL Server at scale, SSAS, and Azure Data Factory.
  • Production experience with ClickHouse (or a comparable columnar engine such as Snowflake, BigQuery, or Databricks).
  • Strong production-grade skills in Python, Go, or a comparable backend language — and the discipline to write the code, not just the diagrams.
  • Comfort designing event-driven systems (REST, NATS or Kafka, CDC) and operating workloads on Kubernetes.
  • Genuine fluency with AI-assisted engineering — coding agents, LLM tooling, retrieval, evals — and a point of view on how to do it responsibly inside a regulated, multi-site business.
  • A track record of partnering with executives and turning ambiguous business problems into durable technical designs.
  • Reside in or be willing to relocate to Birmingham, Alabama and work onsite.

NICE TO HAVE

  • Veterinary, healthcare, or multi-site retail/services experience, particularly with Practice Information Management Systems (PIMS).

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