Functional Data Architect

PwC; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a Senior Manager for business application consulting. The ideal candidate will have over 10 years of experience in financial services, primarily focused on data platforms, and will contribute to solving complex business issues through analytical and technological expertise. This role requires strong communication skills and proficiency in English.

Qualifications

• More than 10 years of experience in Financial Services centered around data platforms.
• Understanding of work involved in delivering a data platform.
• Proficiency in English.

Responsibilities

• Design and deliver enterprise and solution data architectures.
• Lead data analysis activities.
• Contribute to reference architectures.

Skills

Data analysis and profiling

ETL/ELT and integration patterns

Cloud technologies (MS Azure, Databricks, AWS)

Solid understanding of technology data platform components

Strong analytical and communication skills

Job description

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

About the Role

As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Encourage everyone to have a voice and invite opinions from all, including quieter members of the team.
• Deal effectively with ambiguous and unstructured problems and situations.
• Initiate open and candid coaching conversations at all levels.
• Go to person
• Move easily between big picture thinking and managing relevant detail.
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realizes they are required.
• Contribute technical knowledge in area of specialism.
• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
• Navigate the complexities of cross-border and/or diverse teams and engagements.
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
• Uphold the firm's code of ethics and business conduct.

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.

About You

• More than 10 years of experience in Financial Services centered around data platforms
• Experienced in Financial Services, with deep expertise in Banking, Insurance and / or Asset & Wealth data domains welcomed.
• Understanding of work involved in delivering a data platform: Source system analysis, data profiling, creating source to target mapping and others
• Solid understanding of technology data platform components: Ingestion, Metadata driven pipeline, DQ service, data architecture types e.g. medallion, data mesh etc.

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); metadata and lineage; data quality management and controls.

Professional Skills

• Results oriented and self-starter
• Superior attention to detail
• Ability to multitask and work under pressure
• Good analytical and communication skills
• Strong work ethics
• Proficiency in English
• Committed and responsible