Lead Data Engineer – Databricks, DBT & Ingestion jobs in United States
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LogicExcell · 9 hours ago

Lead Data Engineer – Databricks, DBT & Ingestion

LogicExcell is seeking a Lead Data Engineer to join their mature enterprise data platform team built on Databricks, Spark, and DBT. The role focuses on leading the design, development, and optimization of data ingestion pipelines while mentoring junior engineers and ensuring accountability for delivery.

Information Technology & Services
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Hiring Manager
Mukul Sharma
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Responsibilities

Lead the design, development, and optimization of data ingestion pipelines using Databricks and Spark
Build and maintain refined (gold-layer) data assets using DBT and SQL
Author and manage DBT models and macros to create reusable, scalable transformations
Work within a medallion architecture (bronze / silver / gold layers)
Partner with product owners, engineers, and stakeholders to understand data use cases
Take ownership of workstreams and mentor junior engineers, including task delegation and progress oversight
Identify performance, scalability, and cost-optimization opportunities in Databricks workloads
Contribute to reusable ingestion and transformation frameworks used across teams

Qualification

DatabricksApache SparkDBTPythonSQLData warehousingMentoringOwnershipTeam collaboration

Required

USC and GC Only
Strong, hands-on experience with Databricks (production experience required)
Apache Spark / PySpark
DBT, including DBT macros
Python
SQL (used primarily through DBT)
Strong understanding of data warehousing and medallion architecture concepts
Senior / Lead-level engineer (title history as Lead is a strong plus)
Proven ability to take ownership and accountability
Proven ability to drive solutions independently
Proven ability to lead and mentor junior engineers
Comfortable operating in a team of 7–8 engineers
Able to stay on a project long-term (1+ year mindset strongly preferred)

Company

LogicExcell

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LogicExcell is your trusted partner for IT staffing. We specialize in connecting businesses with top-tier IT talent.

Funding

Current Stage
Early Stage
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