<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you&#39;ll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you&#39;re passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You&#39;ll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>

<p>Required Qualifications</p><ul><li>5+ years of Data Engineering experience.</li><li>3+ years of hands-on production experience with Databricks and Apache Spark.</li><li>Strong technical leadership experience, including architecture ownership and mentoring engineers.</li><li>Advanced proficiency in Python, PySpark, and SQL.</li><li>Experience with:</li><li>Azure Databricks</li><li>Azure Data Lake Storage (ADLS Gen2)</li><li>Delta Lake</li><li>Databricks Workflows or Lakeflow Jobs</li><li>Strong understanding of medallion architecture and modern data lakehouse design.</li><li>Experience migrating enterprise workloads from SQL Server or similar database platforms to the cloud.</li><li>Expertise with data quality frameworks, monitoring, alerting, reconciliation processes, and disaster recovery strategies.</li><li>Experience with Git-based development workflows, automated testing, and CI/CD deployment pipelines.</li><li>Excellent communication skills with the ability to explain technical decisions to both technical and non-technical audiences.</li></ul><p><br></p>

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