Data Architect / Database Analyst

JR United Kingdom; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading company in the UK is seeking an Interim Data Architect / Database Analyst to support a government client in London. This hybrid role involves defining data strategy, optimizing data solutions, and providing DBA support, requiring extensive experience in data architecture and Microsoft cloud tools.

Qualifications

• Minimum of 10 years of relevant experience.
• Extensive experience in designing and implementing data architectural models.
• Strong experience with Microsoft cloud-based data management tools.

Responsibilities

• Define and implement data strategy for a key government client.
• Document future requirements for data management and analytics.
• Provide DBA cover for IT infrastructure team.

Skills

Data modeling techniques

Data warehousing concepts

Master Data Management (MDM)

T-SQL query optimization

Azure SQL Database

Azure Data Factory (ADF)

Azure Data Lake

Azure Synapse Analytics

Tools

Microsoft SQL Server 2018

SQL Server Integration Services (SSIS)

SQL Server Profiler

Job description

Role: Interim Data Architect / Database Analyst

Hybrid Role: 3 days on site in London

Daily Rate: £650, INSIDE IR35

Security Clearance: SC Clearance

The interim Data Architect / Database Analyst will serve in a dual role, split 50% / 50%, to support a key government client in London by defining and implementing its data strategy.

Data Architect

You will have a strong background in delivering excellent data architecture and design solutions (including data process redesign), and a thorough understanding of Microsoft cloud-based data management tools.

You will be playing a leading role in designing the data strategy for the organisation

• Documenting business teams' future requirements for data management, analytics, and reporting
• Reviewing the design of the organisation's current Central Data Store and assessing whether it can meet future reporting requirements
• Assessing the feasibility and desirability of transitioning CDS to a future cloud-based Enterprise Data Warehouse/Data Lake
• Designing a cohesive data model and data dictionary
• Collaborating with business and technology stakeholders to assess, plan, and implement effective data solutions which optimise the use of technology, reduce operational risk, and deliver stakeholder value
• Establishing the Data Architect role and implementing the supporting governance and controls required for the organisation to adhere to industry best practices in data management

You must be able to present examples of successful data architecture and design solutions that you have implemented in previous assignments, preferably in the financial services sector.

Database Analyst

You will ideally have a background in operational database administration and support within financial services.

You will be providing DBA cover for the IT infrastructure team.

• Providing technical support across all SQL Database environments
• Providing operational support for DB issues initiated from incidents or changes
• Working on projects and providing effective support to project teams to ensure the smooth transition of new databases and initiatives into the production environment

Required Experience:

• The successful candidate will have a minimum of 10 years of relevant experience
• You will demonstrate extensive recent practical experience of designing and implementing data architectural models and the design of a data model and data dictionary
• You will demonstrate strong experience in the use of Microsoft cloud-based data management tools and services
• Ability to contribute to internal processes to support the design of Power BI reports/dashboards and the underlying semantic model, working with stakeholders to understand requirements and present data in a way that provides meaningful insights
• Experience in Investment banking operational environments would be desirable

Technical Requirements

• Strong expertise in data modeling techniques
• Data warehousing concepts and tools
• Knowledge of Master Data Management (MDM)
• Ability to design and optimize T-SQL queries for high-performance data retrieval/manipulation
• Understanding of Azure SQL Database and Azure SQL Managed Instance
• Knowledge of Azure Data Factory (ADF) for ETL Processes
• Experience of Azure Data Lake and Azure Synapse Analytics
• Microsoft SQL Server 2018
• Microsoft SQL Server Integration Services (SSIS)
• Microsoft SQL Server Profiler
• SQL Server T-SQL Programming
• Data Modelling, Design and Documentation Tools
• Cloud-based data design/migration technologies