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Data Architect

Closing date
23 Jul 2021

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Technology & New Media
Contract Type
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Job Details

Data Architect

Location: Glasgow, UK

Key Responsibilities:

* Design the pillars for Data Governance, Metadata Mgt, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI and R&D in close alignment with business functions and enterprise Information management.

* Create and manage the Information Management framework, architecture, processes, and solutions.

* Overall responsibility of the technology decisions for the data & analytics platforms.

* Assist in creation of solution assessment criteria for product selections.

* Responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains.

* Responsible for implementation of the data quality strategy.

* Reviewing third parties' high-level designs and implementations to ensure quality, coherence and consistency.

* Deliver standards & patterns, controls on how the organisation would like to deploy services in a standard & repeatable way.

* Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.

* Ability to translate business requirements into plausible technical solutions for articulation to other development staff.

* Be able to provide architectural direction for multiple medium sized projects concurrently. For larger engagements, a single active project is reasonable.

Essential skills & experience:

* Overall 10+ Experience with 5+ years solid hands-on design, engineering, administration, and implementation of comprehensive systems and architectures in an enterprise area required

* Experience in ETL Tools like Talend, Informatica, Data Stage but not limited to these

* Experience of developing enterprise grade ETL/ELT data pipelines.

* Experience as an enterprise lead in a multinational organization in the following disciplines:

* Metadata Management - Data architecture, lineage, and enterprise data models

* Data Quality - master and transactional data

* Data Warehousing - global scale enterprise data warehouses

* Reporting - operations, management, and key metrics

* Data Modelling Techniques

* Self Service BI

* Ability to effectively communicate, present and articulate strategies across various audiences especially with non-technical business functions

* Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)

* Ability to estimate the financial impact of technology alternatives in terms of benefit and cost

* Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models
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