Support Engagement Lead – Data Platform (Azure & Databricks)

Anblicks

Dallas (TX)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Anblicks is looking for a strong Data Engineering Lead in Dallas to manage and enhance their Data Platform utilizing Azure and Databricks. The successful candidate will lead operations with a focus on efficiency, performance monitoring, and stakeholder communication, essential for driving the platform's growth.

Qualifications

8+ years in data engineering & platform support.
Expertise in Azure & Databricks.
Hands-on experience with SQL, Python, and Spark.

Responsibilities

Ensure quick resolution and transparent updates for incidents.
Improve performance, cost, and reliability of the data platform.
Enforce data integrity and compliance.

Skills

Data engineering

Platform support

Incident management

Performance tuning

Data governance

SQL

Python

Spark

CI/CD pipelines

Monitoring tools

Job description

Direct message the job poster from Anblicks

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.

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.

Seniority level