Functional Data Architect

About the Role

As a Senior Manager youll 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 .

• 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 firms 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