Databricks Lakehouse Architect & Delivery Leader

Applexus Technologies (P) Ltd; Federal Way (WA); On-site; USD 150,000 - 200,000; Full time

Job summary

Applexus Technologies (P) Ltd is seeking a Databricks Architect based in Federal Way, Washington. This role is pivotal in designing and delivering Databricks Lakehouse platforms, balancing architectural vision with hands-on execution. The successful candidate will work closely with the Databricks field team, ensuring delivery excellence on enterprise engagements.

Your responsibilities include building data pipelines, implementing governance protocols, and leading technical initiatives. Ideal candidates will possess over 10 years in data engineering, with extensive Databricks mastery and leadership experience.

Qualifications

• 10+ years in data engineering or architecture, including 3+ years in a technical leadership capacity.
• Databricks experience with Delta Lake, Unity Catalog, and performance tuning in production environments.
• Proficiency in Python, PySpark, and SQL with large-scale data processing experience.

Responsibilities

• Design Databricks Lakehouse platforms and define reference patterns.
• Build and maintain batch and streaming pipelines.
• Implement governance and security standards in production.

Skills

Data engineering leadership

Databricks mastery

Advanced Python

PySpark

SQL

Cloud platform fluency

CI/CD expertise

Stakeholder management

Databricks ecosystem awareness

Job description

Applexus Technologies (P) Ltd is seeking a Databricks Architect based in Federal Way, Washington. This role is pivotal in designing and delivering Databricks Lakehouse platforms, balancing architectural vision with hands-on execution. The successful candidate will work closely with the Databricks field team, ensuring delivery excellence on enterprise engagements.

Your responsibilities include building data pipelines, implementing governance protocols, and leading technical initiatives. Ideal candidates will possess over 10 years in data engineering, with extensive Databricks mastery and leadership experience.