ZipRecruiter

Log In

1

Databricks Certified Jobs (NOW HIRING)

Tror AI for everyone

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Databricks Certified Data Engineer Professional * Databricks Certified Machine Learning Professional * Databricks Lakehouse Fundamentals * Experience with MLflow, Feature Store, or MLOps workflows.

1 point system

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate (DP-203) certifications are highly desirable. * Excellent communication, presentation, and ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks ... Certified Solutions Architect AWS Certified Database Specialist or equivalent Cloud Certifications

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Databricks Certified Data Engineer * Experience with modern data governance frameworks * Exposure to AIML and advanced analytics Soft Skills * Strong communication and collaboration skills * Ability ...

Infinitive Inc

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$108.40K - $147.30K/yr

Databricks Certified Associate. * Excellent problem-solving skills and attention to detail. * Strong communication and collaboration skills. Preferred Qualifications: * AWS Certified Solutions ...

Infinitive Inc

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$108.40K - $147.30K/yr

Databricks Certified Associate. * Excellent problem-solving skills and attention to detail. * Strong communication and collaboration skills. Preferred Qualifications: * AWS Certified Solutions ...

next page

Showing results 1-20

People also search for

All JobsDatabricks Certified Jobs

Databricks Certified information

See salary details

$12

$24

$45

How much do databricks certified jobs pay per hour?

As of May 31, 2026, the average hourly pay for databricks certified in the United States is $24.57, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Databricks Certified vs Data Engineer?

CriteriaDatabricks CertifiedData Engineer
CredentialsCertification in Databricks platform and toolsTypically requires data management, SQL, and programming skills; certifications vary
Work EnvironmentPrimarily cloud-based, working with Databricks platformData pipelines, ETL processes, often cloud or on-premises
Industry UsageUsed across industries adopting Databricks for analyticsCommon in data-driven organizations, analytics, and big data projects

While Databricks Certified professionals focus on mastering the Databricks platform, Data Engineers have broader responsibilities in building and maintaining data pipelines. Certification validates platform-specific skills, whereas Data Engineers often require a mix of technical skills and certifications. Both roles are vital in data ecosystems, with overlapping skills in data processing and cloud environments.

Infographic showing various Databricks Certified job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 95% Full Time, and 1% Temporary. Highlights an 25% Physical, 25% Hybrid, and 50% Remote job distribution, with an average salary of $51,108 per year, or $24.6 per hour.

Databricks Architect

Tror AI for everyone

Los Angeles, CA • On-site

$69.75 - $91.50/hr

Contractor

Posted 18 days ago

Job description

Job Title: Databricks Architect

Location : Los Angeles CA  (Hybrid)

The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform. This role requires deep expertise in cloud platforms (Azure/AWS/GCP), distributed data processing, Delta Lake architectures, and modern data engineering practices. The architect will collaborate with cross-functional teams to define data strategies, ensure platform reliability, and enable advanced analytics, ML, and BI use cases.

 

Key Responsibilities

  • Architecture & Design
  • Design end-to-end Databricks Lakehouse architectures for data ingestion, processing, storage, and consumption.
  • Define and implement Delta Lake patterns, including medallion architecture (Bronze/Silver/Gold).
  • Develop scalable data pipelines using PySpark, Spark SQL, and Databricks workflows.
  • Architect solutions for structured, semi-structured, and unstructured data.
  • Engineering & Implementation
  • Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and workflows.
  • Design and implement high-performance streaming solutions using Structured Streaming.
  • Optimize Spark jobs for cost, performance, and scalability.
  • Implement CI/CD and automation using Databricks Repos, Git, and DevOps pipelines.
  • Cloud & Platform Expertise
  • Architect solutions across Azure/AWS/GCP leveraging native cloud services (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).
  • Ensure security, governance, and compliance through Unity Catalog, RBAC, and encryption.
  • Monitor workloads and optimize cluster configurations for performance and cost.
  • Collaboration & Leadership
  • Work closely with data engineers, data scientists, BI teams, and business stakeholders.
  • Act as a subject matter expert (SME) for Databricks best practices, standards, and patterns.
  • Conduct architectural reviews and guide teams on design decisions.
  • Lead PoCs, evaluate new features, and drive platform adoption.
  • Quality, Governance & Observability
  • Define standards for data quality, lineage, observability, and governance.
  • Implement automated testing frameworks for pipelines and notebooks.
  • Establish performance baselines and monitoring dashboards.

Required Skills & Experience

Technical Skills

  • 7+ years of experience in data engineering/architecture.
  • 3+ years of hands-on experience with Databricks.
  • Strong expertise in Spark, PySpark, SQL, and distributed data processing.
  • Deep understanding of Delta Lake features: ACID transactions, OPTIMIZE, ZORDER, Auto Loader.
  • Experience with workflow orchestration, jobs, and Databricks REST APIs.
  • Hands-on expertise with at least one cloud platform:
  • Azure (preferred): ADF, ADLS, Key Vault, Event Hub, Azure DevOps
  • AWS: S3, Glue, Lambda, Kinesis
  • GCP: GCS, Dataflow, Pub/Sub
  • Familiarity with CI/CD, Git, DevOps, and Infrastructure-as-Code (Terraform preferred).
  • Soft Skills
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management.
  • Ability to lead design discussions and guide technical teams.
  • Strong documentation and architectural blueprinting skills.

Preferred Qualifications

  • Databricks certifications, such as:
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Machine Learning Professional
  • Databricks Lakehouse Fundamentals
  • Experience with MLflow, Feature Store, or MLOps workflows.
  • Experience working in regulated industries (BFSI, healthcare, etc.).