Data Architect

8 meses atrás

Porto, Portugal KANTAR Tempo inteiro

We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Our Functions teams are right at the centre of our business, making sure we can always get better, every day. Supporting the business with things like Marketing, Human Resources, Finance, Legal and Technology, our Functions colleagues are skilled professionals whose role it is to ensure we continue to become an indispensable partner to brands everywhere.

Job Details

Role Summary

As part of our investment into Technology, Operations and Product, Kantar is looking for a dedicated Data Architect to join our engineering community and help us define and drive the future of our bespoke Enterprise Data Platform (EDP) built on cutting edge technologies on Azure Cloud. We are also leveraging Azure Data Governance product suite to enrich our Data Management capabilities.

You will partner with our software engineering teams, architects and product managers to drive data governance and data architecture leadership for our ambitious product roadmaps

Kantar is investing in a major technology transformation to harness and enrich our technology capabilities in Data Engineering and Data Science space, and our commitment to delivery excellence across our engineering function is critical to underpin this. This is an exciting time to join Kantar on this journey and play a pivotal role in building great solutions for our customers and clients Reporting into Kantar’s Technology division, this role will be instrumental for the end-to-end delivery of Kantar’s data product roadmap.

Key Responsabilities

The Data Architect will have to:
- Produce industry-standard conceptual data models, and be involved in designing the logical/physical representation- Ensure data models are optimal for the various access patterns (e.g., Data Analytics, Data Science, Application - real-time & batch)- Ensure data models are catalogued and change management is documented and approved- Define data guardrails in the form of data dictionaries and data mappings to be adopted by the enterprise for consistent data definitions- Assess the impact on models resulting from upstream changes or downstream consumption changes- Play a governance role, driving Master Data Management/Reference Data Management principles to support our Enterprise Data Platform (EDP) and respective products- Implement policies around cost management and play a key role in capacity forecasting- Define Data Governance framework and data architecture designs - focusing ownership on the centralised data models- Define access management approaches and techniques to secure our data - keeping in mind regulatory and privacy requirements- Produce as-is assessment and technology recommendations to improve the technical capabilities for Data Quality, Data Privacy, Reference Data, Metadata (RDM) and Master Data Management (MDM)- Be an ambassador for the Enterprise Data Platform (EDP) and Data Catalogue capabilities-
- Guide and collaborate with engineering teams during implementations- Play an SME consultant role in encouraging standard processes in data modelling to the product domains/divisions, recommend improvements to existing modelsCapabilities and experience

Essential Experience- Demonstrated ability in a similar role- Deep experience in creating enterprise data models (Conceptual, Logical) using industry-standard toolsets- Data literate: understands how to derive value from trusted data and partners with end-users to elicit and translate requirements into suitable data structures- Worked with Data Catalogue tools (e.g., BIGID, Alation, Purview)- Experience with anonymisation/tokenisation techniques to support both storing and consuming the data- Experience in setting up scalable access management frameworks to ensure only the right consumers can view the appropriate data- Rich experience in Technology stacks (Cloud-native) on Data Management and Governance aspects (Data Privacy, Data Quality, RDM and MDM)- Experience in implementing Data Governance framework and technology stack for a complex Enterprise Data Platform (EDP)- Experience in implementing analytics and BI report ecosystem for seamless and secure data consumption-
- Define data modelling principles - both traditional and modern (OLTP, DWH, Data Vault, Feature Engineering for Data Science, API Schema)- Understand the benefits of Reference Data Management and Master Data Management - and have been involved in implementation that involved one or both.

Desirable Experience-
- Knowledge of data privacy methodologies for safe and secure data democratisation- Worked in designing models that play to the strengths of Azure Synapse and/or Databricks consumers.- TOGAF certified- Experience with modern cloud data technology stacks e.g., within Azure- Knowledge on Microservice, event-driven, and API led architectures- Training, certification and/or extensive reading in SAFe / Lean-Agi

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