Azure Data Engineer Architect with Data Bricks ( USC / GC)

[IT Recruiter Chintu]

Databricks Architect/Admin

Department: Data & Analytics Platform

Reports To: Senior Director, Data Platform

Location: Hartford, CT 

Job Type: 6-month contract to hire

REQUIRED QUALIFICATIONS

• 7+ years of experience in data engineering or data platform roles, with a minimum of 4 years hands-on Databricks implementation experience.
• Demonstrated expertise with Databricks platform capabilities: Unity Catalog, Delta Lake, Databricks Workflows, Delta Live Tables, and SQL Warehouses.
• Strong Unix/Linux proficiency — shell scripting, process management, file system operations, cron scheduling, and environment configuration.
• Proficiency in Python and PySpark for distributed data processing, pipeline development, and platform automation.
• Experience with cloud infrastructure (AWS, Azure, or GCP), including compute, storage, networking, and IAM/security constructs.
• Demonstrated ability to design for scale, cost efficiency, and operational reliability in an enterprise data environment.
• Demonstrated experience designing automation frameworks for data platform operations — including job orchestration, monitoring, alerting, and pipeline self-healing.
• Familiarity with AI/ML concepts and tooling within the Databricks ecosystem, including MLflow, AutoML, and Model Serving; exposure to generative AI or LLM-integrated workflows is a plus.
• Experience with Oracle database environments, including SQL development, schema design, and integration patterns for data extraction and pipeline sourcing.
• Proficiency in Git-based version control — branching strategies, pull request workflows, repository management, and CI/CD pipeline integration for data platform code.
• Experience working within ITSM and project delivery frameworks such as ServiceNow and Jira.
• Strong written and verbal communication skills, with the ability to convey complex architectural concepts to both technical and non-technical audiences.