Data Architect

Lean Solutions Group; Makati; On-site; PHP 5,671,000 - 9,452,000; Full time

Job summary

Lean Solutions Group is seeking a Data Engineering Architect to lead the design and evolution of scalable, high-performance data platforms. You will define data architecture strategies, set engineering standards, and guide teams across data ingestion, processing, and storage.

The role requires deep expertise in distributed data processing, ETL/ELT patterns, data modeling, and modern data platforms, with strong Python and SQL skills and hands-on leadership to deliver reliable data solutions.

Qualifications

• Proven experience working as a Data Architect.
• Strong understanding of data architecture, data platforms, and modern data engineering practices.
• Experience designing and leading the architecture of scalable, secure, and high-performance data platforms and data pipelines.
• Experience with architectural patterns for data ingestion, transformation, processing, storage, and consumption.
• Advanced Python programming skills.
• Strong SQL development and optimization skills.
• Strong experience with Apache Spark / PySpark.
• Experience designing and implementing scalable ETL/ELT data pipelines.
• Experience working with large datasets and distributed data processing.
• Ability to troubleshoot and optimize data processing workloads.

Responsibilities

• Lead the design and evolution of scalable, high-performance data platforms and engineering solutions.
• Make technology decisions.
• Guide development teams in building reliable, scalable, and maintainable data solutions.
• Apply a strong understanding of distributed data processing, ETL/ELT patterns, data modeling, performance optimization, and modern data platforms.

Skills

Data Architect

Data platforms

Python

SQL

Apache Spark / PySpark

ETL/ELT pipelines

Distributed data processing

Data modeling

Cloud experience

CI/CD for data pipelines

Tools

Snowflake

dbt

Databricks

AWS

GCP

Python

Claude AI

Job description

We are looking for a Data Engineering Architect to lead the design and evolution of scalable, high-performance data platforms and engineering solutions. The ideal candidate possesses strong architectural experience and a deep understanding of modern data engineering practices.

This role will be responsible for defining data architecture strategies, establishing engineering standards, making technology decisions, and guiding development teams in building reliable, scalable, and maintainable data solutions. The successful candidate will have a strong understanding of distributed data processing, ETL/ELT patterns, data modeling, performance optimization, and modern data platforms.

Responsibilities

• Lead the design and evolution of scalable, high-performance data platforms and engineering solutions.
• Make technology decisions.
• Guide development teams in building reliable, scalable, and maintainable data solutions.
• Apply a strong understanding of distributed data processing, ETL/ELT patterns, data modeling, performance optimization, and modern data platforms.

Qualifications

• Proven experience working as a Data Architect.

Required Skills

• Proven experience working as a Data Architect.
• Strong understanding of data architecture, data platforms, and modern data engineering practices.
• Experience designing and leading the architecture of scalable, secure, and high-performance data platforms and data pipelines.
• Experience with architectural patterns for data ingestion, transformation, processing, storage, and consumption.
• Advanced Python programming skills.
• Strong SQL development and optimization skills.
• Strong experience with Apache Spark / PySpark.
• Experience designing and implementing scalable ETL/ELT data pipelines.
• Experience working with large datasets and distributed data processing.
• Ability to troubleshoot and optimize data processing workloads.

Preferred Skills

• Databricks/cloud experience would be a plus.
• Experience with Snowflake.
• Experience with AI Agents and Code AI tools like Claude.
• Experience with AWS data services and cloud environments.
• Experience with Google Cloud Platform (GCP).
• Experience with dbt and modern ELT/data transformation practices.
• Familiarity with cloud-based data lakehouse architectures.
• Experience implementing CI/CD and automated testing for data pipelines.

Required Skills

• Strong problem-solving and debugging skills.
• Ability to work independently and take ownership of projects.
• Strong communication skills with the ability to articulate, diagram, and document complex engineering concepts.