Job Description

Lead/Senior Data Engineer

Role Summary

We are seeking a Lead/Senior Data Engineer to design and build scalable data pipelines, models, and analytics-ready datasets using modern cloud and Databricks-based lakehouse architectures.

Responsibilities

• Design, build, and optimize ETL/ELT pipelines using Databricks, Spark, SQL, and Python.
• Support migration from legacy data warehouses to modern cloud/lakehouse platforms.
• Develop dimensional models, data marts, and curated datasets for analytics and AI use cases.
• Collaborate with technical and business stakeholders to translate requirements into solutions.
• Ensure data quality, performance, governance, and scalability.
• Provide technical guidance and mentorship to other engineers.

Requirements

• 4–5+ years of data engineering or analytics engineering experience.
• Strong SQL and Python skills.
• Hands-on Databricks and Spark experience.
• Experience with orchestration tools such as Airflow, dbt, or Cloud Composer.
• Strong knowledge of data modeling and modern data warehouse/lakehouse architectures.
• Excellent communication and stakeholder management skills.

Preferred

• Experience with legacy-to-cloud data migrations.
• Knowledge of data governance, quality, metadata, and lineage.
• Experience supporting analytics or AI/ML initiatives.