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Lead Data Engineer – Databricks & dbt Location: Irvine, California Work arrangement: On-site four days per week Salary: $150,000 – $200,000 per year + bonus & benefits Employment: Full-time W2 Vacancies: Two Interview process: Two-stage virtual interview Urgent requirement We are supporting a leading investment management organisation in hiring two experienced Lead Data Engineers for a major data-platform migration and modernisation programme. This is an urgent requirement, with a streamlined two-stage virtual interview process. This hands-on technical leadership role will focus on migrating legacy data warehouses and ETL platforms to a modern Databricks Lakehouse architecture. You will combine deep Databricks, dbt and Python expertise with solution design, migration planning and team leadership. Key responsibilities Design and develop scalable data pipelines using Databricks, PySpark, Python and SQL. Lead migrations from legacy data warehouses and ETL platforms to Databricks Lakehouse. Modernise existing ETL workloads into scalable ELT frameworks using dbt. Assess source environments and define migration strategies, roadmaps and execution plans. Build solutions using Delta Lake, Unity Catalog, Databricks Workflows and Structured Streaming. Implement Bronze, Silver and Gold Medallion Architecture patterns. Develop reusable dbt models, macros, tests and transformation frameworks. Establish data-quality, monitoring, reconciliation and lineage capabilities. Optimise Spark and Databricks workloads for performance and cost. Lead code reviews, maintain engineering standards and mentor other data engineers. Partner with architects, product owners, analysts and business stakeholders. Required experience At least eight years of professional data-engineering experience. Strong hands-on expertise with Databricks, dbt, Python, PySpark and SQL. Proven experience leading enterprise data-platform migration or modernisation programmes. Experience migrating legacy data warehouses, ETL platforms or on-premises data environments. Strong understanding of Databricks Lakehouse and Medallion Architecture. Experience with Apache Airflow or comparable workflow orchestration technology. Knowledge of data modelling, data quality, testing, lineage and CI/CD practices. Previous experience within asset management, investment management or a closely related financial-services environment. The ability to lead technical delivery while remaining actively involved in engineering. This role requires on-site attendance in Irvine, California, four days per week. Candidates should already be within a commutable distance or be prepared to relocate. With two positions available and interviews commencing shortly, interested candidates are encouraged to apply immediately with an up-to-date résumé.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.