At a Glance
- Tasks: Design and deliver Master Data Management solutions for a large-scale data transformation programme.
- Company: Globally established organisation based in Central London.
- Benefits: Competitive salary up to £90,000, bonus, and comprehensive benefits.
- Other info: Hands-on role with excellent career growth opportunities in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact on enterprise data architecture.
- Qualifications: Strong Informatica MDM experience and data modelling skills required.
The predicted salary is between 90000 - 90000 £ per year.
A globally established organisation is seeking a Data Architect to join a large-scale enterprise data transformation programme. This role will focus on the design and delivery of Master Data Management solutions, supporting the creation of high-quality, governed and scalable master data assets across the organisation.
This is a hands-on architectural role suited to an experienced data professional with strong Informatica expertise who can define data models, establish MDM frameworks and drive best practice across enterprise data architecture.
Responsibilities for the Data Architect:- Define conceptual, logical and physical data models for master data domains, ensuring alignment with enterprise architecture standards
- Design and implement scalable Master Data Management frameworks and integration patterns
- Architect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hub
- Define matching, merging and survivorship rules to ensure trusted master data
- Establish data quality frameworks including validation and governance controls
- Ensure alignment with security, compliance and enterprise data governance standards
- Collaborate with business and technology stakeholders to align master data architecture with operational and analytical use cases
- Strong hands-on experience with Informatica MDM
- Experience with Informatica CDQ and enterprise data quality tooling
- Strong background in data modelling and data architecture principles
- Experience designing and delivering Master Data Management solutions in complex environments
- Strong understanding of data governance, lineage and lifecycle management
- Experience within insurance or regulated financial services environments
- Experience contributing to large-scale data transformation programmes
If you are an experienced Data Architect with strong MDM expertise looking to drive enterprise data transformation initiatives, please apply in the immediate instance.
StudySmarter Expert Advice🤫
We think this is how you could land MDM Data Architect - Informatica Specialist (Onsite London) in City of London
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We think you need these skills to ace MDM Data Architect - Informatica Specialist (Onsite London) in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Involved Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Involved Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Involved Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Involved Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
