Data Solutions Architect

About The Job

Location: Taguig

Corporate Title: Junior Officer to Senior Manager

Work Arrangement: Hybrid

Our Enterprise Data Office team is looking for experienced professionals to join us in Taguig with the role of Data Solutions Architect.

In this role you will define and implement robust, scalable data solutions that align with the banks enterprise technology landscape, collaborating with IT and platform teams to ensure operational, regulatory, and business priorities are met. Depending on level, you may set architectural strategy and coach engineers, lead complex solution design, contribute to planning and optimization, or support documentation and testing while building expertise in data architecture.

Your dream. Our focus.

East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience.

We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment.

Whether youre just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success.

What The Role Will Entail

• Design and validate technical architecture for data platforms, pipelines, and services that integrate with the enterprise IT stack
• Lead performance tuning, capacity planning, and workload optimization across batch, streaming, and real-time applications
• Establish and maintain CI/CD, infrastructure-as-code, and automated monitoring solutions for data and ML pipelines
• Evaluate emerging data tools and technologies for suitability, interoperability, and compliance with organizational standards
• Conduct research and proof-of-concepts to support innovation, balancing technical feasibility with business value and cost
• Collaborate with cross-functional teams to ensure alignment of data solutions with enterprise priorities
• Drive continuous improvement in data architecture practices to enhance scalability, reliability, and efficiency
  
  
  

• Bachelors Degree in either Computer Science, Information Technology, Computer Engineering, or a related technical field
• Preferred certifications include Azure Solutions Architect, Google Cloud Certified – Data Engineer, AWS Certified Big Data or equivalent
• Relevant experience by level: 4–6 years in data engineering or platform development
• Expertise in distributed data platforms such as Databricks, Spark, Kafka, Delta Lake, Snowflake, or BigQuery; strong skills in SQL, Python, and cloud-native services (Azure/GCP/AWS); deep knowledge of CI/CD, Terraform, Kubernetes, and container orchestration
• Proven ability to design scalable multi-cloud data solutions, with knowledge of monitoring tools (Prometheus, Grafana, Datadog), MLOps frameworks (MLflow, SageMaker, Vertex AI), and strong collaboration and leadership competencies across communication, problem solving, innovation, and strategic thinking
  
  
  

• Career development and training opportunities
• Competitive salary package and benefits
• Performance-based incentives and recognition programs to reward high-performing individuals
• Opportunity to work with industry experts and be mentored by them
• Defined career progression paths to guide you in your professional growth