LASR - Lead Data Engineer - MSS

Lead Data Engineer || Irvine, CA - Hybrid || Fulltime | | 6 - 12 years of experience

Must Have Technical/Functional Skills

Data Bricks , EBT ,Airflow , Asset Management exp

Roles & Responsibilities

Lead Data Engineer - Client

Experience

8-15 Years

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Role Overview

We are looking for a highly skilled Lead Data Engineer with strong hands-on experience in Databricks, dbt, and Python, and a proven track record of leading and executing data platform migration and modernization programs. The ideal candidate will have experience migrating legacy data warehouses, ETL platforms, and cloud/on-prem data ecosystems to a modern Databricks Lakehouse architecture using dbt-based transformation frameworks. This is a hands-on leadership role requiring deep technical expertise, solution design capabilities, and the ability to mentor engineering teams while driving enterprise-scale data modernization initiatives.

Key Responsibilities

Data Engineering & Development

• Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, and Python.
• Develop and optimize ELT/ETL processes for large-scale data ingestion and transformation.
• Implement robust data quality, monitoring, and reconciliation frameworks.
• Build reusable data engineering components and frameworks.

Data Platform Migration & Modernization

• Lead migration of legacy data platforms, data warehouses, and ETL ecosystems to Databricks Lakehouse.
• Transform existing ETL workloads to modern ELT patterns using dbt.
• Analyze source environments and define migration approaches, roadmap, and execution strategy.
• Drive code conversion, performance optimization, and workload modernization efforts.

Databricks Engineering

Develop solutions leveraging:

• Databricks Lakehouse Platform
• Delta Lake
• Unity Catalog
• Databricks Workflows
• Structured Streaming
• Medallion Architecture (Bronze, Silver, Gold)

Optimize Spark jobs and Databricks workloads for performance and cost efficiency.

dbt Development

• Build and maintain dbt models, macros, tests, and documentation.
• Implement incremental processing and reusable transformation frameworks.
• Establish data lineage, testing, and CI/CD best practices.
• Work closely with business and analytics teams to build trusted datasets.

Leadership & Collaboration

• Lead a team of data engineers and developers.
• Perform code reviews and enforce engineering standards.
• Collaborate with archit ects, product owners, business analysts, and stakeholders.
• Mentor junior engineers and drive adoption of best practices.

Salary : Upto 160K/annum + benefits

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.