Data Architect

Details of the offer

We are looking for an experienced Data Architect to join our client on a transformational journey.
As a key member of their Data Architect team, you will play a pivotal role in translating business needs into robust data architecture solutions.
Your expertise will drive the design, development, and optimisation of data models, ensuring data quality, governance, and security across the systems.
Key Responsibilities: Design and Development: Create conceptual and logical data models to support business, data, and technical requirements.
Develop data flows, automate processes, and ensure adherence to data architecture best practices.
Collaboration with Stakeholders: Work closely with business analysts, data analysts, enterprise architects, and senior managers to ensure alignment between business goals and technical solutions.
Data Quality & Governance: Establish and maintain data quality standards, advocate for best practices, and ensure compliance with data protection regulations such as the GDPR.
End-to-End Data Flow: Design and validate data movement and transformation across systems, ensuring seamless data integration and addressing gaps in data flow.
Documentation & Strategy: Contribute to the development of data architecture documentation and ensure solutions are implemented in line with enterprise-wide strategy.
Data Security Advocacy: Understand and enforce data governance policies and data security best practices to safeguard organizational data.
Standards Development: Lead the creation and maintenance of data modelling standards, naming conventions, and coding practices, guiding teams on performance, limitations, and interfaces.
Essential Skills and Experience: 5+ years of experience as a data analyst/modeler, including complex enterprise and dimensional data modelling.
Proven experience in a data warehouse, data lake, or operational data store environment.
Expertise with major data modelling tools (e.g., SQL Database Modeller, MySQL Workbench, PowerBI).
In-depth experience with major database platforms (e.g., Oracle, SQL Server, Microsoft Azure).
Familiarity with data architecture philosophies (e.g., Dimensional, ODS, Data Vault).
Strong experience in data analysis, profiling, and working with big data platforms (e.g., Hadoop, Snowflake, PostgreSQL).
Bachelors degree or equivalent in a relevant field.
A solid understanding of data warehouse capabilities, real-time data technologies, and cloud platforms.
Why join our client?
A great remuneration of up to £63k p/a plus enhanced pension and hybrid working with only 1 day in the office required (for those that like being in the office you can of course work more days in the office).
Working with a diverse team of experts in the field and engage with stakeholders across the business.
Lead projects that shape the future of our clients data landscape and use cutting-edge technologies.
They provide opportunities for professional development and growth within the organisation.
If you have a passion for data and thrive in a collaborative environment, wed love to hear from you!
TPBN1_UKTJ


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

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