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Data engineer

Xpertiz IncSaint Helena, NC🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to advance your skills in Databricks, Unity Catalog, and CI/CD, working with cutting-edge technologies to shape enterprise data solutions. You'll thrive here if you are a mid-senior engineer with a passion for platform engineering and DevOps enablement, eager to contribute to a reputable company. Apply now to join a dynamic team and drive innovation in data.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Saint Helena, NC, United States
Posted
18 hours ago
SQLMLflowAzureDatabricksGenerative AIGitPythonUnity

Job Description

Job Title: Senior Databricks Platform & CI/CD Engineer


Job Summary

We are seeking a hands-on Senior Databricks Platform & CI/CD Engineer to support the implementation, administration, automation, governance, and operationalization of an enterprise Databricks platform.

The ideal candidate will have strong experience with Databricks, Unity Catalog, CI/CD, Azure DevOps, GitHub Enterprise, Databricks Asset Bundles (DAB), Python, SQL, and PySpark.

This role focuses on Databricks platform engineering and DevOps enablement, rather than cloud infrastructure provisioning.

Key Responsibilities

  • Configure and administer Databricks workspaces.

  • Implement and manage Unity Catalog governance standards.

  • Configure catalogs, schemas, permissions, RBAC, and access controls.

  • Design and implement CI/CD pipelines for Databricks solutions.

  • Integrate Databricks with Azure DevOps and GitHub Enterprise.

  • Build deployment automation using Databricks Asset Bundles (DAB).

  • Automate deployments across Development, Test, UAT, and Production.

  • Implement Git branching, pull request workflows, and release management.

  • Develop automated validation, testing, and deployment processes.

  • Create reusable deployment templates and engineering accelerators.

  • Support data governance, lineage, audit logging, and security controls.

  • Support PHI/PII data governance and compliance requirements.

  • Monitor Databricks platform health, utilization, performance, and operational readiness.

  • Support production deployments, incident resolution, and troubleshooting.

  • Develop operational runbooks and monitoring/alerting processes.

  • Support MLflow and AI/ML platform enablement when required.

Required Skills

  • 5+ years of experience in Data Platform Engineering, DevOps Engineering, or Cloud Data Engineering.

  • 3+ years of hands-on Databricks experience.

  • 3+ years building and supporting CI/CD pipelines.

  • Databricks

  • Unity Catalog

  • Delta Lake

  • Databricks Workflows / Jobs

  • Delta Live Tables (DLT)

  • Databricks Asset Bundles (DAB)

  • Databricks Repos

  • Azure DevOps

  • GitHub Enterprise

  • Git branching strategies

  • CI/CD pipeline development

  • Release management

  • Automated testing

  • Python

  • SQL

  • PySpark

  • RBAC and access management

  • Data governance and data lineage

  • Audit controls

  • PHI/PII data handling

  • Enterprise production support

Preferred Skills

  • MLflow

  • Databricks Model Serving

  • Databricks Apps

  • Vector Search

  • Azure OpenAI

  • Generative AI

  • Agentic AI frameworks

  • Healthcare or regulated-industry experience

  • Monitoring and alerting

  • Incident management

  • Performance optimization

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