Data Architect- (JOB JB)

Data Architect

Salary: Php 130,000

Location: Makati City

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.