Data Specialist, Senior Manager

PRICEWATERHOUSECOOPERS RISK SERVICES PTE. LTD.; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading consulting firm in Singapore is seeking an experienced data architect to implement Data Governance platforms and optimize data solutions. The ideal candidate will have over 10 years of experience in data architecture and enterprise data integration, along with strong expertise in Data Modeling and Big Data technologies. This role requires proven stakeholder management skills and the ability to bridge technical and business requirements.

Qualifications

• 10+ years of experience in data architecture, data warehousing, and enterprise data integration.
• 8+ years in consulting experience in Singapore and regionally.
• Proven track record of implementing data management solutions in large organizations.

Responsibilities

• Implement Data Governance platforms to enable glossary, metadata/lineage scanning, and data quality rules.
• Develop and optimize data warehouse and data marts supporting AI and BI solutions.
• Establish Master Data Management frameworks for consistent reference data.

Skills

Data Governance

Data Modeling

Big Data

ETL/ELT

Cloud Platforms

Solution Architecture

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or related field

Tools

Informatica CDC

Alation

Collibra

Databricks

Snowflake

Hadoop ecosystem

Spark

Azure Data Factory

AWS Glue

Job description

Overview

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com. Our Risk Services Practice provides an invaluable safeguard in today’s complex operating environment with insights and independent assurance. We work with clients to deliver business control to help them to protect and strengthen every aspect of their business from people to performance, systems to strategy, business plans to business resilience. We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in the supply chain. We assess and prepare businesses by looking into their technology, finance, data analytics, regulatory requirements, data security and privacy, internal audit, and the third parties our clients rely on, to help clients deliver quality results and meet their strategic objectives.

Responsibilities

• Implement Data Governance platforms to enable glossary, metadata/lineage scanning, and data quality rules build
• Design and maintain enterprise data models, including dimensional modeling, database normalization, and conceptual / logical / physical data models
• Develop and optimize data warehouse, ODS and data mart architectures to support AI and BI solutions
• Establish Master Data Management (MDM) frameworks and tools for consistent and accurate reference data
• Define and implement data quality management practices, ensuring data integrity, accuracy and compliance
• Develop and enforce data governance policies, standards and procedures across the organization
• Partner with business and IT stakeholders to drive data stewardship, ownership and accountability
• Ensure compliance with regulatory and industry standards (e.g. BCBS 239, GDPR, MAS Requirements).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or related field
• 10+ years of experience in data architecture, data warehousing, and enterprise data integration
• 8+ years in consulting experience in Singapore and regionally
• Strong expertise in:
• Data Modeling: Dimensional modeling, Normalization
• Data Governance: Informatica CDC, Alation, Collibra
• Data Platforms: Databricks, Snowflake, Cloud native data solutions
• Big Data: Hadoop ecosystem, Spark, or equivalent
• ETL / ELT: Informatica, Talend, Azure Data Factory, AWS Glue, or similar
• Cloud Platforms: AWS, Azure, GCP (certifications a plus)
• Solution Architecture: TOGAF, SOA, APIs, Microservices
• Proven track record of implementing data management solutions in large organizations
• Excellent communication & stakeholder management skills with the ability to bridge technical and business requirements