Data Architect

Servicesreply
Moffat, UK
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Cloud Database Data Architecture Data Governance Extract Transform Load (ETL) Data Normalization Data Security Data Warehousing Microsoft Software Google Cloud Data Strategy
+2 more
Data Lakes Data Analytics

Job description

design data architectures, and develop roadmaps aligned to their business and data strategy. You’ll be responsible for translating business requirements into technical solutions, ensuring the architecture is aligned to business goals while considering regulatory compliance.Responsibilities:Demonstrate a strong understanding of the Financial Services Industry and how a well-designed data architecture can help organisations meet their business objectivesDemonstrate extensive knowledge of data architecture principles, including designing scalable, efficient, and secure data systemsExpertise in designing and implementing data warehousing solutions, data lakes, and ETL processes, specifically for financial services dataProficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essentialStrong understanding of cloud-based data solutions and experience with platforms like AWS, Azure, Google Cloud, SnowflakeKnowledge of advanced

Requirements

analytics tools, this includes creating dashboards, reports, and analytics that provide actionable insightsKnowledge of data governance, data quality management, and data security best practices, with an emphasis on adhering to regulatory standards specific to financial servicesAbout the candidate: Strong understanding of cloud-based data solutions and experience with platforms like AWS, Azure, Google Cloud, SnowflakeProficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essentialDemonstrate a strong understanding of the Financial Services Industry and how a well-designed data architecture can help organisations meet their business objectivesExcellent communication skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and business leaders in the financial services industry.This includes aligning data architecture with organizational objectives and leveraging data for strategic decision-makingExperience with Data Quality Rules, DQ Dimensions and hands on experience of triaging and resolution processesA proactive approach to staying updated with emerging technologies, trends, and best practices in data architecture and Microsoft technologies, applying this knowledge to innovate and enhance data-driven strategies in financial servicesReply is an Equal Opportunities Employer and committed to embracing diversity in the workplace.We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone.To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need. Requisition ID11189- Posted04/07/#####-Consulting-Job-Years of Experience (2)3-5 , 5-7Where (1)United Kingdom

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