Senior Data Architect

We are looking for an experienced Data Architect to join us and help to develop, optimise, and oversee our company’s conceptual and logical data systems and models, inline with strategy and vision, identifying, designing and implementing data solutions.

Main Duties and Responsibilities:

• Responsible for designing and implementing effective database solutions and models to store and retrieve company data
• Assess database implementation procedures to ensure they comply with GDPR and data compliance
• Design conceptual and logical data models and flowcharts
• Provide advice to project teams and oversee the management of the full data production lifecycle
• Responsible for making sure systems are designed in accordance with data architecture
• Accountable for designing solutions that meet people, process and technology needs and provide a route from the As-Is to the To-Be.
• Accountable for ensuring the as is data platform landscape is fully understood, documented, and any risks managed
• Accountable for producing quality, clear and consistent outputs that are required through all the phases of a delivery.
• Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams
• Accountable for ensuring data solutions and data models throughout the project or product life-cycle, are delivered effectively, and to agreed technical standards.
• Accountable for ensuring stakeholders, technology teams, third parties and vendors, are aligned to the architectural vision.
• Guide, influence and challenge the technology teams and stakeholders to understand the benefits, pros and cons of solution options.
• Help to maintain integrity and security of the company’s data

Skills and Experience

• Extensive professional Data experience as Data Architect, or Lead Data Engineer
• Excellent communication skills and the ability to explain architectural approaches to both technical and non-technical stakeholders.
• Extensive experience of data modelling to at least 3NF
• Strong knowledge of database structure systems and data mining
• Proficient in Kimball methodology and Data Vaults
• Deep understanding of database principles and experience in designing metadata-driven ingestion and transformation pipelines.
• Experienced in Master Data Management (MDM), data cataloguing, and managing data lineage
• Familiarity with accelerators and extensive knowledge of Azure Cloud Services including DataBricks, Azure Data Factory, Azure SQL, CosmosDB, and other Azure services.
• Profound understanding of Microsoft SQL Server and skilled in designing, constructing, and maintaining data warehouses, data lakes, and lakehouses (preferably utilising Databricks).
• Experienced with structured and unstructured datasets, capable of designing various architectural solutions including data applications and integration systems.
• Comprehensive experience in the technology delivery lifecycle from inception to maintenance and delivery.
• Developed architecture in agile environments and familiar with methodologies like SCRUM, PRINCE2, and Lean.
• Strong problem-solving skills, able to design solutions that address conflicting requirements and drive key architectural outcomes such as performance, quality, and integrity.
• Adept at using visual techniques to simplify complex architectural concepts.
• Passionate about emerging technologies, with a track record of leveraging them effectively.

Person Specification

• A skilled communicator, used to working with a varied group of stakeholders to align messaging and enabling mediation well between technical teams and stakeholders
• Passionate about digital and data products, platforms and technologies
• Constructively challenges convention and seeks new ways of achieving better results
• Demonstrates sound and pragmatic judgement, balancing pace, risk and business value to reach decisions and deliver solutions
• Customer and data centric in your approach
• Proactive self-starter who continuously seeks ways to improve
• Excellent communication and interpersonal skills, with ability to communicate complex subjects, ‘sell’ ideas, and influence business and technology stakeholders at all levels
• Attention to detail, focused on the finer details that make the difference
• Provides thought leadership in the data domains

Equal Opportunity Statement

We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change.