Senior Data Platform & Analytics Engineer

Sutherland; Taguig; On-site; PHP 1,200,000 - 1,600,000; Full time

Job summary

Sutherland is seeking a Senior Data Analytics Engineer in Manila to design and build scalable data platforms, drive cloud migrations, and partner with business leaders to transform data into insights. You will work with Databricks, Spark, PySpark, Power BI, and modern lakehouse architectures, influencing analytics strategy and AI initiatives.

The role emphasizes collaboration with senior stakeholders, governance, and robust data solutions across enterprise reporting and analytics capabilities.

Qualifications

• Bachelor's degree in CS/IT/Engineering/Data Analytics or related field.
• 4+ years in Data Platform Development.
• Strong SQL optimization, Power BI, DAX, Spark, PySpark, Spark SQL.
• Python for automation and analytics.
• Git and modern development practices.
• Ability to partner with stakeholders and translate business requirements.
• Strong communication and presentation skills.

Responsibilities

• Design and build scalable data platforms and analytics solutions.
• Lead migration of legacy reporting to cloud platforms.
• Translate business requirements into data solutions.
• Ensure data accuracy, governance, and quality.
• Collaborate with senior leaders and cross-functional teams.
• Implement best practices in governance, version control, testing and deployment.
• Drive continuous improvement across analytics and engineering.

Skills

SQL optimization

Power BI & DAX

Spark / PySpark

Python for automation

Git & DevOps practices

Communication & presentation

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or related field

Tools

Databricks

Delta Lake

Azure

AWS

Unity Catalog

Job description

Sutherland is seeking a Senior Data Analytics Engineer in Manila to design and build scalable data platforms, drive cloud migrations, and partner with business leaders to transform data into insights. You will work with Databricks, Spark, PySpark, Power BI, and modern lakehouse architectures, influencing analytics strategy and AI initiatives.

The role emphasizes collaboration with senior stakeholders, governance, and robust data solutions across enterprise reporting and analytics capabilities.