Data Platform Ops Lead — Azure & Databricks

Anblicks

Coppell (TX)

On-site

USD 150,000 - 210,000

Full time

14 hours ago
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Job summary

Anblicks is seeking a Data Engineering Lead to manage and enhance a Data Platform built on Azure-ADF and Databricks. You will lead hands-on efforts to stabilize, optimize, and mature platform operations through structured processes and automation.

The role emphasizes incident management, proactive monitoring, and governance, with a focus on delivering reliable, scalable data services and clear communication with stakeholders.

Qualifications

  • 8+ years in data engineering with Azure ADF and Databricks.
  • Strong incident management, performance tuning, and data governance.
  • Hands-on experience with SQL, Python, Spark, and CI/CD pipelines.
  • Familiarity with monitoring tools (Azure Monitor etc.) and automation frameworks.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Incident & Communication Management – ensure quick resolution, RCA, and transparent updates.
  • Proactive Monitoring & Optimization – improve performance, cost, and reliability.
  • Data Quality & Governance – enforce data integrity, lineage, and compliance.
  • Change & Release Management – streamline deployments and minimize disruptions.
  • Reporting & Continuous Improvement – track KPIs and resolve recurring issues.
  • Knowledge Management – maintain documentation, SOPs, and training for operations.
  • Automation & Monitoring – implement self-healing mechanisms and reduce manual overhead.

Skills

Data engineering
Platform support
Incident management
Performance tuning
Data governance
SQL
Python
Spark
CI/CD pipelines
Stakeholder management

Tools

Azure Data Factory (ADF)
Databricks
Azure Monitor
Monitoring tools

Job description

Anblicks is seeking a Data Engineering Lead to manage and enhance a Data Platform built on Azure-ADF and Databricks. You will lead hands-on efforts to stabilize, optimize, and mature platform operations through structured processes and automation.

The role emphasizes incident management, proactive monitoring, and governance, with a focus on delivering reliable, scalable data services and clear communication with stakeholders.

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