Senior Databricks & Azure Data Engineer
Summary
Senior Databricks & Azure Data Engineer at Ascendion in Makati City who designs and maintains large-scale data pipelines, Lakehouse/medallion architecture, and optimized Spark jobs using Databricks, Apache Spark, Python, and SQL, with Unity Catalog governance, CI/CD, and mentoring of junior engineers.
Salary: ₱120,000 – ₱180,000 per month
About the role
We are seeking an experienced Senior Databricks Engineer with 5+ years of experience in data engineering, cloud data platforms, and large-scale data processing. The ideal candidate will have strong expertise in Databricks, Apache Spark, Python, SQL, and modern data architecture, with hands-on experience building scalable, reliable, and high-performance data pipelines in cloud environments.
Key responsibilities
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Apache Spark, Python, and SQL.
Build and optimize Lakehouse architectures using Data Lake and the medallion architecture (Bronze, Silver, and Gold layers).
Develop batch and streaming data processing solutions for large-scale datasets.
Implement data orchestration, workflow scheduling, and pipeline monitoring.
Optimize Spark jobs, cluster configurations, and SQL queries for performance and cost efficiency.
Implement data quality checks, governance, security, and access controls using Unity Catalog and related tools.
Integrate Databricks with cloud storage, data warehouses, APIs, and enterprise data sources.
Establish CI/CD, automated testing, and deployment practices for data engineering solutions.
Collaborate with data architects, analysts, data scientists, and business stakeholders to deliver reliable data products.
Mentor junior engineers and contribute to engineering standards, technical design, and best practices.
About you
7+ years of experience in data engineering, cloud data platforms, and large-scale data processing.
Strong expertise in Databricks, Apache Spark, Python, SQL, and modern data architecture.