Data Architect

About the Data Architect Role at PwC South East Asia Consulting

As a Data Architect at PwC South East Asia Consulting, you will be instrumental in designing, implementing, and managing robust data architecture to ensure optimal data flow, storage, and accessibility across the organization. This pivotal role requires you to create scalable and secure data models, seamlessly integrate data from diverse sources, and uphold stringent compliance with data governance and security standards.

Data Architecture Responsibilities

• Design and deliver enterprise and solution data architectures that effectively solve business problems and enable advanced analytics, reporting, and regulatory outcomes.
• Define and govern data models, standards, and best practices spanning conceptual, logical, and physical layers.
• Lead comprehensive data analysis activities, including source system analysis, meticulous data profiling, and precise source-to-target mapping definitions.
• Develop and meticulously review data models and canonical data definitions, assuring their precise alignment to business capabilities and use cases.
• Establish and embed robust data governance and data quality practices, policies, and controls, encompassing measurement, monitoring, and proactive remediation.
• Partner closely with business stakeholders to translate complex requirements into scalable data solutions and strategic roadmaps, articulating trade-offs and available options clearly.
• Oversee critical non-functional requirements such as scalability, performance, security, and reliability, ensuring architecture aligns seamlessly with target-state principles.
• Provide expert architecture oversight throughout the delivery lifecycle, ensuring complete traceability from initial requirements through design to final implementation.
• Contribute actively to reference architectures and reusable patterns (e.g., ingestion, curation, access) to significantly accelerate delivery timelines.

Technical Skills

• Proficiency in data analysis and profiling, source-to-target mapping, and comprehensive data modeling across conceptual, logical, and physical layers.
• Expertise in ETL/ELT and various integration patterns, encompassing both batch and streaming data processing.
• Strong understanding of data warehousing approaches, including relational and analytical data stores.
• Experience with leading cloud technologies such as MS Azure, Databricks, AWS, and GCP; knowledge of metadata and lineage, and data quality management and controls.
• Demonstrated strong knowledge of data modeling, ETL processes, and data warehousing.

Education & Certifications

A Bachelor's Degree is preferred for this position. While specific certifications were not explicitly listed, any relevant certifications in cloud platforms, data architecture, or data management would be highly beneficial.

Required & Optional Skills

• 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, 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.

Key Skills/Competency

• Data Architecture
• Data Modeling
• Cloud Technologies
• ETL/ELT Processes
• Data Governance
• Data Warehousing
• SQL Databases
• Generative AI
• Machine Learning
• Data Analysis