IT Data Architect

MediCard Phils., Inc.; Makati; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Guaranteed 14th-month pay

Annual Performance Bonus

Retirement Plan

HMO with 2 dependents

VL/SL (pro-rated)

Group Life Insurance

Job summary

MediCard Phils., Inc. is seeking a seasoned Data Architect to define, design, and govern the enterprise data architecture.

You will ensure scalable, secure, and integrated data solutions that align with business strategy and analytics initiatives. You will collaborate with data engineers, solution architects, and governance teams to translate requirements into robust architectures, while ensuring data quality, interoperability, and long-term sustainability of MediCard’s data ecosystem.

Qualifications

• Bachelor’s degree in related field.
• At least 5 years’ experience as a data engineer or similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (Java, Python).
• Advanced hands-on experience with SQL database design and Databricks.
• Advanced experience using Azure Cloud Databases & Technologies.
• Fluent in English with excellent communication skills.
• Ability to work with cross-functional teams and cross-country stakeholders.

Responsibilities

• Define and maintain the enterprise data architecture vision, roadmap, and standards aligned with business strategy.
• Design end-to-end data architectures covering ingestion, storage, processing, integration, and consumption.
• Ensure architecture supports scalability, performance, resilience, and future growth.
• Develop and govern data models across enterprise domains and standardize practices.
• Architect cloud-based data platforms (Azure) with security, availability, and cost optimization.
• Guide data technologies and platforms selection and usage.
• Design data integration patterns for batch, streaming, and API-based movement.
• Ensure data quality, lineage, and governance alignment across systems.

Skills

English

Analytical skills

Communication

Cross-functional

Project management

Numerical skills

Data modeling

Education

Bachelor’s degree in related field

Master’s degree preferred

Computer Science / IT degree

Azure Data Engineer Certification (preferred)

Tools

Java

Python

Databricks

Azure

Salesforce

SAP

Oracle

Genesys

Job description

At MediCard, we believe that diversity and inclusion are essential to fostering innovation, collaboration, and growth. We are committed to creating a workplace where everyone, regardless of gender, race, ethnicity, sexual orientation, disability, or any other characteristic, feels valued and empowered to contribute their unique perspectives and talents.

Our inclusive hiring practices ensure that we attract, hire, and retain the best talent from all backgrounds. We strive to provide equal opportunities for all candidates and promote a culture of respect, fairness, and transparency. We are dedicated to continuously improving our processes and policies to eliminate biases and barriers, ensuring that every employee has the support and resources they need to thrive.

Work Location: AIA Head Office, Makati City

Work Set-Up: Hybrid, 3 days onsite per week

A Data Architect is responsible for defining, designing, and governing the enterprise data architecture to ensure scalable, secure, and well‑integrated data solutions that support business strategy and analytics initiatives. The role establishes data models, architectural standards, and integration patterns across platforms, ensuring consistency, performance, and alignment with cloud and data governance principles. The Data Architect works closely with business stakeholders, data engineers, solution architects, and governance teams to translate business requirements into robust data architectures while ensuring data quality, interoperability, security, and long‑term sustainability of the organization’s data ecosystem.

Roles and Responsibilities

• Data Architecture Strategy & Design:

  • Define and maintain the enterprise data architecture vision, roadmap, and standards aligned with business strategy and technology direction.

  • Design end‑to‑end data architectures covering data ingestion, storage, processing, integration, and consumption.

  • Ensure architectural decisions support scalability, performance, resilience, and future growth.

• Data Modeling & Design Standards:

  • Develop and govern conceptual, logical, and physical data models across enterprise domains.

  • Establish data modeling standards and best practices for transactional, analytical, and reporting use cases.

  • Ensure consistency of data definitions, relationships, and structures across systems and platforms.

• Cloud & Platform Architecture:

  • Architect cloud‑based data platforms (e.g., Azure data services) following best practices for security, availability, and cost optimization.

  • Define reference architectures for data lakes, data warehouses, lakehouses, and real‑time data solutions.

  • Guide the selection and usage of data technologies, tools, and platforms.

• Integration & Data Flow Architecture:

  • Design data integration patterns for batch, streaming, and API‑based data movement.

  • Ensure seamless and reliable data flows across source systems, platforms, and downstream consumers.

  • Support enterprise integration standards and data interoperability.

• Data Governance & Quality Alignment:

  • Partner with Data Governance, Security, and Compliance teams to embed governance, privacy, and security requirements into data architectures.

  • Ensure data architecture supports data quality, lineage, metadata management, and auditability.

  • Enforce architectural guardrails and design principles aligned with governance policies.

• Security, Privacy & Risk Management:

  • Design secure data architectures incorporating data classification, access controls, encryption, and network protections.

Minimum Job Requirements

• Bachelor’s degree in related field.

• At least 5 years’ or more previous experience as a data engineer or in a similar role

• Technical expertise with data models, data mining, and segmentation techniques

• Knowledge of programming languages (e.g. Java and Python)

• Advanced Hands‑on experience with SQL database design and Databricks

• Advanced experience in using Azure Cloud Databases & Technologies

• Great numerical and analytical skills

• Degree in Computer Science, IT, or similar field; a Master’s is a plus

• Data engineering certification (e.g Azure Certified Data Engineer) is a plus

• Experience/Knowledge in using Salesforce, Sap, Oracle, Genesys is a plus

• Ability to perform analysis, formulated conclusions and recommend actions.

• Excellent verbal and written communication skills. Fluency in English required.

• Ability to communicate and work with cross-functional teams and cross‑country stakeholders is a must.

• Strong organizational skills

• Experience with project management is a plus

• Highly motivated and eager to learn new applications and/or tools

• Displays a positive and team first attitude

• Continuously seeks ways to enhance contribution to those they support

• Supports hybrid work model. Work at Home and Work at On‑Site.

• Must be able to juggle many multiple projects simultaneously.

For your appreciation, these are some of the benefits that we are offering.

• Guaranteed 14th-month pay
• Annual Performance Bonus (Subject to both company and individual performance)
• Retirement Plan
• HMO with free 2 dependents (upon hire for Principal and upon regularization for the eligible dependents)
• 15 days VL and 15 days SL (Pro-rated for mid-year hire)
• Group Life Insurance
• Protection benefits, and a lot more w/c will be discussed during the job offer stage.