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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Data Architect / Data Model Lead

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience working with Databricks and Microsoft Azure.
  • Participation in designing and implementing data platforms and cloud-based solutions.
  • Practical knowledge of data modeling, data integration, and ETL/ELT processes.
  • Ability to design and develop large-scale data processing and transformation processes.
  • Knowledge of data architecture and data quality management.
  • Fluency with SQL and tools used for data analysis and processing.
  • Experience collaborating with business and technical teams on complex projects.
  • Ability to independently solve technical problems and propose optimal solutions.
  • Good English communication skills sufficient for working in an international environment.
  • Ability to operate as a sole proprietor or through a business entity in Poland because of the project-based nature of the engagement.

Responsibilities

  • Define the target data model and data architecture.
  • Design data flows and source-to-target mappings.
  • Create and maintain documentation for metadata, reference datasets, and data lineage.
  • Define data ownership rules and support Data Governance.
  • Collaborate on building and developing the data platform in Azure and Databricks.
  • Design and implement data integration, transformation, and processing workflows.
  • Collaborate with architects, developers, and business stakeholders to create data-based solutions.
  • Ensure the quality, consistency, and availability of data used by the organization.
  • Participate in analyzing business requirements and translating them into technical solutions.
  • Work on a strategic data transformation project using Azure, Databricks, and data platform solutions.

Desired Qualifications

  • Experience with regulatory reporting projects, the financial sector, or the insurance sector, and knowledge of CCH Tagetik.
  • Experience with Databricks and Microsoft Azure.
  • Participation in building or developing cloud data platforms.
  • Experience designing data models and data architecture.
  • Ability to define data flows, source-to-target mappings, and data transformation rules.
  • Practical knowledge of Data Governance, Metadata Management, and Data Lineage.
  • Experience defining data quality standards and data ownership rules.
  • Good knowledge of data integration and ETL/ELT processes.
  • Ability to collaborate with business teams, architects, and data engineers on complex projects.
  • Experience working with large data volumes and complex data processing workflows.
  • Fluent English communication in a project environment.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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