Data Architect

Below is the Job Description for your reference

Job Title: Data Architect

Location: Glasgow (Initially Remote)

Job Type: 3-6 months (extendable)

Job Description

• Design the pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data
• Create and manage the Information Management framework, architecture, processes, and solutions.
• Overall responsibility of the technology decisions for the data & analytics platforms.
• Assist in the 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 the 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 organization 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 the articulation to other development staff.
• Be able to provide architectural direction for multiple medium-sized projects concurrently.

Essential skills & experience

• Overall 10+ Experience with 5+ years of 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 in 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