Lead Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Azure Data Engineer in TX, with a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years of data engineering experience, expertise in Azure, Databricks, SQL, and strong incident management skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Azure #Data Engineering #Monitoring #Python #SQL (Structured Query Language) #Databricks #Documentation #Deployment #Spark (Apache Spark) #ADF (Azure Data Factory) #Data Integrity #Synapse #Compliance #Data Quality #Automation #Data Governance
Role description
Must be local to TX
Role Overview:
We are seeking a strong Data Engineering Lead with support engagement experience to manage and enhance a Data Platform built on Azure and Databricks. This role requires a hands-on leader who can stabilize, optimize, and mature platform operations through structured processes and automation.
Skills:
Azure Service, Azure Synapse, ADF, Databricks, SQL.
Key Responsibilities:
• Incident & Communication Management – Ensure quick resolution, RCA, and transparent stakeholder 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, resolve recurring issues, and drive efficiency.
• Knowledge Management – Maintain documentation, SOPs, and training for seamless operations.
• Automation & Monitoring – Implement self-healing mechanisms and reduce manual overhead.
Qualifications:
• 8+ years in data engineering & platform support, with expertise in Azure & Databricks.
• Strong knowledge of 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.
Must be local to TX
Role Overview:
We are seeking a strong Data Engineering Lead with support engagement experience to manage and enhance a Data Platform built on Azure and Databricks. This role requires a hands-on leader who can stabilize, optimize, and mature platform operations through structured processes and automation.
Skills:
Azure Service, Azure Synapse, ADF, Databricks, SQL.
Key Responsibilities:
• Incident & Communication Management – Ensure quick resolution, RCA, and transparent stakeholder 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, resolve recurring issues, and drive efficiency.
• Knowledge Management – Maintain documentation, SOPs, and training for seamless operations.
• Automation & Monitoring – Implement self-healing mechanisms and reduce manual overhead.
Qualifications:
• 8+ years in data engineering & platform support, with expertise in Azure & Databricks.
• Strong knowledge of 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.
