Senior Databricks Engineer

KWA Analytics; Mexico; On-site; PHP 5,221,130 - 7,371,007; Full time

Job summary

KWA Analytics is seeking a highly skilled Senior Databricks Engineer to lead the architecture, optimization, and delivery of enterprise-scale lakehouse solutions. This client-facing role requires 5+ years in data engineering and deep expertise in Databricks, Python, and cloud platforms like Azure and AWS. Responsibilities include designing data platforms, leading migrations, building scalable pipelines, and mentoring junior engineers. The position is based in Pampanga, Mexico.

Qualifications

• 5+ years in data engineering / cloud analytics.
• 3+ years of deep experience with Databricks.
• Strong Python, SQL, Spark, and distributed processing expertise.

Responsibilities

• Design and implement enterprise data platforms using Databricks Lakehouse architecture.
• Lead migration of legacy data warehouses to modern cloud environments.
• Build scalable pipelines with Apache Spark and Delta Lake.

Skills

Python

SQL

Apache Spark

Databricks

Distributed processing

Cloud Computing

Education

5+ years in data engineering/cloud analytics

3+ years of experience with Databricks

Tools

Microsoft Azure

Amazon Web Services

Google Cloud

Unity Catalog

Job description

We are seeking a highly skilled Senior Databricks Engineer to lead the architecture, optimization, and delivery of enterprise-scale lakehouse solutions. This is a client-facing role requiring strong technical depth and leadership.

Responsibilities:

• Design and implement enterprise data platforms using Databricks Lakehouse architecture
• Lead migration of legacy data warehouses to modern cloud environments
• Build scalable pipelines with Apache Spark and Delta Lake
• Implement governance and security using Unity Catalog
• Tune cluster performance and optimize cost efficiency
• Mentor junior engineers and review technical designs
• Work directly with stakeholders and business leaders

Requirements:

• 5+ years in data engineering / cloud analytics
• 3+ years of deep experience with Databricks
• Strong Python, SQL, Spark, and distributed processing expertise
• Hands‑on experience in Microsoft Azure / Amazon Web Services / Google Cloud
• Experience with lakehouse architecture, governance, CI/CD
• Excellent communication and client‑facing skills

Preferred:

• Databricks Professional certification
• Team leadership experience
• Migration/modernization project background