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Fulltime Observability Jobs in California (NOW HIRING)

Aliso Viejo, CA (Onsite) Job Type: Full Time RequiredSkills: Python, Azure, Databricks, SQL, ADF ... Observability tools (Great Expectations/Delta Expectations, Databricks quality flows, Monte Carlo ...

San Francisco, California, United States Job Type: Full-time We are looking for an accomplished and strategic Director of Product Management with deep expertise in Observability and Managed Service ...

Director of Product Management

San Francisco, CA · On-site

$274K - $287K/yr

San Francisco, California, United States Job Type: Full-time We are looking for an accomplished and strategic Director of Product Management with deep expertise in Observability and Managed Service ...

System Design Architect

San Jose, CA · On-site

$289K/yr

Familiarity with Kubernetes operators, service meshes, and observability stacks (Grafana, Prometheus, OpenTelemetry). Employment Type: FULL_TIME

Director Product Management

San Francisco, CA · On-site

$274K - $287K/yr

San Francisco Bay Area JobType: full-time We are seeking an experienced and strategic Director of ... Strong expertise in Observability , including monitoring, logging, distributed tracing, application ...

Director Product Management

San Francisco, CA · On-site

$274K - $287K/yr

San Francisco Bay Area JobType: full-time We are seeking an experienced and strategic Director of ... Strong expertise in Observability , including monitoring, logging, distributed tracing, application ...

Showing results 21-40

Fulltime Observability information

What cities in California are hiring for Fulltime Observability jobs? Cities in California with the most Fulltime Observability job openings:

Azure Engineer - Full Time

Saransh Inc

Aliso Viejo, CA • On-site

Full-time

Re-posted 14 days ago


Job description

Role: Azure Engineer
Location : Aliso Viejo, CA (Onsite)
Job Type: Full Time
 
RequiredSkills: 
Python, Azure, Databricks, SQL, ADF, Fabric/Synapse, Snowflake, Apache Spark (PySpark/SQL), Kafka, dBT
 
Experience Required: Min 10+ years
 
 
Experience and Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 10+ years in data engineering/architecture with substantial hands-on depth in Azure.
  • Expert in Azure Databricks & Apache Spark (PySpark/SQL), Delta Lake, Unity Catalog, job orchestration, and performance tuning.
  • Strong Snowflake on Azure experience (schema design, performance/cost optimization, RBAC, streams/tasks).
  • dbt expertise (project structure, tests, exposures, macros; Core or Cloud) and solid SQL/Python fundamentals.
  • Proven track record building ETL/ELT pipelines with ADF and/or Synapse/Fabric pipelines; familiarity with Event Hubs/Kafka for streaming.
  • Solid foundation in lakehouse and warehousing architectures, dimensional modeling, medallion patterns, and data quality frameworks.
  • Security & governance know-how: Purview lineage/catalog, data masking, PII handling, managed identities, private networking
Nice to Have:
  • Experience with Azure ML, feature stores, or serving ML pipelines from Databricks/Snowflake.
  • Infrastructure as Code (Terraform/Bicep) for Azure data platforms, containerization with Docker.
  • Observability tools (Great Expectations/Delta Expectations, Databricks quality flows, Monte Carlo, DataDog).
Certifications (Preferred):
  • Databricks Certified Data Engineer Professional (or Architect).
  • Microsoft Azure: DP-203 (Data Engineering), Azure Solutions Architect Expert, Azure Security Engineer Associate.
  • Snowflake: SnowPro Core / Advanced.