Data Engineer- DataBricks

Role: Data Engineer
Location: Remote
Employment Type: Full-Time
Experience: 4-7 years

KEY
RESPONSIBILITIES

·       Design and implement CI/CD pipelines for data
pipelines (ingestion jobs) and transformation projects (e.g., dbt on
Databricks, SQL, notebooks)

·       Orchestrate Databricks jobs and workflows
end-to-end (ingestion, transformation, quality checks)

·       Integrate automated testing into CI/CD,
including schema and contract checks for data models and tables

·       Implement FinOps best practices to support
cost monitoring and allocation across the EDP

·       Automate platform operations for Databricks
and related services, such as workspace and cluster provisioning, library and
runtime mgmt. and job deployment/config

·       Implement and maintain identity and access
management for Databricks and supporting cloud resources, including workspace-
and cluster-level permissions, table- and view-level access controls (e.g.,
Unity Catalog or equivalent), service principals, groups, and roles for
automated workloads, and RBAC & TBAC models in collaboration with EDP
Architect

·       Provide patterns, templates, and reusable
modules (Terraform modules, Airflow DAG patterns, Databricks job templates) to
accelerate onboarding of new projects

·       Continuously evaluate and improve tooling,
pipelines, and platform architecture to increase reliability, security, and
developer productivity on Databricks

·       Define the code promotion process to minimize
impacts across domains as code is promoted to production

·       Manage end-to-end orchestration using managed
Airflow. Contribute to defining and tracking SLA/SLO/SLIs for the platform and
participate in incident response (triage, root cause analysis)

·       Practical knowledge of IT Infrastructure
technologies, cloud computing Azure), cybersecurity, and disaster recovery.

·       Working knowledge of Azure ecosystem,
including hands-on experience designing, building, and optimizing scalable data
pipelines within cloud-native environments.

QUALIFICATIONS

·       Hands-on experience with Databricks in
production environment, including workspace and cluster management,
jobs/workflows and integrations with orchestration tools

·       Strong experience with CI/CD pipelines (e.g.,
GitHub Actions, GitLab CI, Azure DevOps, or similar) and Git-based workflows.

·       Strong experience with Infrastructure as Code
(IaC) and orchestration tools for provisioning and managing Databricks and
cloud infrastructure.

·       Experience implementing automated tests and
quality gates in CI/CD pipelines.

·       Ability to partner effectively with data
engineers, analytics engineers, architects, and security teams.

MINIMUM
EXPERIENCE & EDUCATION

·       Bachelor’s degree in Computer Science,
Information Technology, or related field preferred, or equivalent work
experience.

·       4–7+ years in DevOps, Cloud Engineering, Site
Reliability Engineering, or Platform Engineering, with at least 2+ years
supporting data/analytics platforms.

·       Experience operating production data
workloads, including monitoring, logging, performance tuning, and incident
response.

·       Scripting skills (e.g., Python, Bash,
PowerShell) for automation and integration.

·       Experience in CPG, retail, manufacturing, or
distribution environments preferred.