Azure Analytics Services Engineer/Architect

Bravissimo Resourcing Inc.; Manila; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

A data solutions company in Metro Manila seeks a skilled Data Engineer to design and develop scalable data architectures and pipelines. The ideal candidate will have experience with Azure Databricks, Synapse Analytics, and data transformation programming. The role requires strong analytical skills and the ability to optimize data storage solutions for enterprise analytics, ensuring security and compliance while driving innovation with emerging data technologies.

Qualifications

• Experience as a Data Engineer or Architect with a strong track record of designing data solutions.
• Proficient in relevant programming languages for data transformation.
• Solid understanding of ETL/ELT techniques and data warehousing principles.

Responsibilities

• Design and maintain scalable data architectures and pipelines.
• Implement and optimize data storage solutions for analytics.
• Collaborate with teams to integrate advanced analytics and BI tools.

Skills

SQL

T-SQL

DAX

Python

Data Modeling

Performance Optimization

Data Integration

Collaboration

Problem-Solving

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics or related field

Master’s degree

Tools

Azure Databricks

Synapse Analytics

Microsoft Fabric

Power BI

Azure Data Factory

Job description

Responsibilities

• Design, develop, and maintain scalable data architectures, pipelines, and ETL/ELT processes using Azure Databricks, Synapse Analytics, and Microsoft Fabric.
• Implement and optimize data storage solutions (e.g., Data Lake, Lakehouse, Warehouses) to support enterprise analytics and reporting.
• Ensure adherence to data governance, security standards, and regulatory compliance.
• Monitor, troubleshoot, and optimize data workflows for performance, reliability, and cost-efficiency.
• Collaborate with cross-functional teams to integrate advanced analytics, AI/ML models, and business intelligence tools (e.g., Power BI).
• Translate business requirements into effective technical solutions and maintain comprehensive technical documentation.
• Stay current with emerging Azure data technologies and best practices, driving innovation and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; Master’s degree is a plus.
• Demonstrated experience as a Data Engineer or Architect, with a strong track record of designing and implementing data solutions using Azure Databricks, Synapse Analytics, and/or Microsoft Fabric.
• Proficient in SQL, T-SQL, DAX, Python, or other relevant programming languages for data transformation, modeling, and automation.
• Solid understanding of data integration strategies, ETL/ELT techniques, and data warehousing principles.
• Skilled in data modeling, schema design, and performance optimization.
• Knowledgeable in data security best practices, governance frameworks, and compliance standards.
• Excellent analytical, problem-solving, communication, and collaboration skills.
• Preferred: Familiarity with Power BI, Azure Data Factory, Microsoft Purview, and CI/CD practices for data solutions. Relevant Microsoft certifications are an advantage.