Data Architect

PwC South East Asia Consulting; Makati; On-site; PHP 4,227,052 - 6,642,511; Full time

Job summary

PwC South East Asia Consulting is looking for a Data Architect in the Philippines to design, implement, and manage data architecture for optimal data flow and accessibility.

The ideal candidate will develop scalable data models, ensure data governance compliance, and partner with stakeholders to translate requirements into effective data solutions. Flexibility and strong knowledge in cloud technologies are crucial for this role.

Qualifications

• Experience in data analysis and profiling.
• Strong knowledge of ETL processes.
• Familiarity with cloud technologies such as AWS and GCP.

Responsibilities

• Design and deliver enterprise and solution data architectures.
• Define data models, standards, and best practices.
• Lead data analysis activities and ensure data governance practices.

Skills

Amazon Web Services (AWS)

Cloud Platform

Data Lake

Data Warehouse

Generative AI

Google Cloud Platform (GCP)

Machine Learning (ML)

SQL Databases

Education

Bachelor Degree

Tools

ETL/ELT Processes

Data Warehousing

Cloud Technologies (e.g., MS Azure, Databricks)

Job description

Specialism

Platform Engineering & Architecture

Job Description & Summary

The Data Architect is responsible for designing, implementing, and managing the organization’s data architecture to ensure optimal data flow, storage, and accessibility. This role involves creating scalable and secure data models, integrating data from multiple sources, and ensuring compliance with data governance and security standards.

Data Architecture Responsibilities

• Design and deliver enterprise and solution data architectures that solve business problems and enable analytics, reporting, and regulatory outcomes.
• Define and govern data models, standards, and best practices across conceptual, logical, and physical layers.
• Lead data analysis activities, including source system analysis, data profiling, and source-to-target mapping definitions.
• Develop and review data models and canonical data definitions; assure model alignment to business capabilities and use cases.
• Establish and embed data governance and data quality practices, policies, and controls, including measurement, monitoring, and remediation.
• Partner with business stakeholders to translate requirements into scalable data solutions and roadmaps; articulate trade-offs and options.
• Oversee non-functional requirements (scalability, performance, security, reliability) and align architecture to target-state principles.
• Provide architecture oversight through delivery, ensuring traceability from requirements to design to implementation.
• Contribute to reference architectures and reusable patterns (ingestion, curation, access) to accelerate delivery.

Technical Skills

• Data analysis and profiling; source-to-target mapping; data modeling across conceptual, logical, and physical layers.
• ETL/ELT and integration patterns; batch and streaming data processing.
• Data warehousing approaches; relational and analytical data stores.
• Cloud technologies (MS Azure, Databricks, AWS, GCP); metadata and lineage; data quality management and controls.
• Strong knowledge of data modeling, ETL processes, and data warehousing.

Education

Degrees/Field of Study preferred: Bachelor Degree

Certifications

None specified

Required Skills

Amazon Web Services (AWS), Cloud Platform, Data Lake, Data Warehouse, Generative AI, Google Cloud Platform (GCP), Machine Learning (ML), Programming Languages, SQL Databases.

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}

Desired Languages

None specified