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- Tasks: Design and maintain data pipelines, optimise SPARQL queries, and develop graph-based applications.
- Company: Coforge is a leading tech company focused on innovative solutions in clinical intelligence.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Join a team that values innovation and impact in healthcare through cutting-edge technology.
- Qualifications: Bachelor’s degree in Computer Science or related field; experience with SPARQL and Python required.
- Other info: Ideal for those passionate about health informatics and real-world problem-solving.
The predicted salary is between 48000 - 72000 £ per year.
- Key skills: Data Architecture, Data Modelling, Data Warehouse, Data Governance
- Experience : 10+ years
- Location : London, UK
- Job Type: Permanent (Full time)
We at Coforge are seeking “ Data Architect ” with the following skill-set:
- Core Data Architecture Skills
- Advanced data modelling (conceptual, logical, physical) using ER Studio
- Expertise in entity-relationship modelling, data warehousing principles, dimensional modelling, and denormalization
- Strong SQL and ETL/ELT design experience
- Knowledge of data governance frameworks (DAMA-DMBOK, metadata, lineage)
- Familiarity with cloud and hybrid architectures (Snowflake migration experience desirable)
- Deep understanding of financial instruments, fund structures, product/account management, and performance attribution
- Experience with regulatory data requirements (Solvency II, EMIR, ESG reporting)
- Ability to design solutions for a range of asset management domains, such as risk analytics, performance and attribution, valuations, and liquidity reporting
Tools & Technologies
- ER Studio – for data modelling and forward/reverse engineering
- Solidatus – for lineage and metadata automation
- Snowflake – strategic cloud data platform for EDW migration
- Jira/Confluence – for release management and documentation
- SQLDBM – SaaS modelling tool (being explored for collaborative modelling)
- Alteryx – tactical EUC workflows (being phased out but still in use)
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Data Architect employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience with Clinical Knowledge Graphs. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your expertise in SPARQL and Python by contributing to open-source projects or creating your own projects. This hands-on experience can demonstrate your skills effectively during interviews.
✨Tip Number 3
Familiarise yourself with the specific tools and frameworks mentioned in the job description, such as Apache Airflow or Luigi. Having practical knowledge of these tools can give you an edge over other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data architecture scenarios and problems. Being able to articulate your thought process and problem-solving approach will impress interviewers.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SPARQL, Python, and graph databases. Use specific examples from your past roles that demonstrate your ability to design and maintain data pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Data Architect at Coforge. Mention your experience in Clinical Knowledge Graph projects and how it aligns with their needs.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving data modeling or schema design, be sure to include them in your application. This will help illustrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your ability to collaborate effectively. Provide examples of how you've successfully worked with data scientists or analysts in the past.
How to prepare for a job interview at Coforge
✨Showcase Your Technical Skills
Make sure to highlight your experience with SPARQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of complex queries or data pipelines you've developed.
✨Demonstrate Your Knowledge of Graph Databases
Since the role requires a strong understanding of graph databases, be ready to explain how you've worked with technologies like RDF, Neo4j, or GraphDB. Discuss any relevant projects that involved data modelling and schema design.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving abilities. Think of scenarios where you've had to troubleshoot data quality issues or optimise data retrieval processes, and be ready to walk through your thought process.
✨Emphasise Collaboration Experience
This role involves working closely with data scientists and analysts, so it's important to demonstrate your ability to collaborate effectively. Share examples of how you've translated data requirements into actionable insights in previous roles.
