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- Tasks: Lead the development of a cutting-edge finance and HR reporting platform.
- Company: Join a dynamic team focused on innovation and collaboration.
- Benefits: Enjoy a hybrid work model with 3 days in the office, fostering connection.
- Why this job: Shape strategic direction while working with modern cloud technologies.
- Qualifications: Expertise in cloud data solutions, SQL, Python, and finance or HR data required.
- Other info: Champion diversity and inclusion in a respectful work environment.
The predicted salary is between 43200 - 72000 £ per year.
Data Architect – Finance and HR Reporting and Analytics
An exciting opportunity has arisen for an experienced Data Architect to lead the development of a cutting-edge finance and HR reporting and analytics platform. This permanent role offers the chance to influence strategy, deliver innovative solutions, and work with modern cloud technologies to drive meaningful business outcomes.
You will play a key role in defining the architecture, creating robust data solutions, and ensuring seamless integration across platforms and business functions. With a focus on collaboration and continuous improvement, this hybrid role requires 3 days a week in the office , fostering connection and shared innovation within a dynamic team environment.
Responsibilities
- Develop multi-year roadmaps aligned with business and architecture strategies.
- Define strategic data architecture for Finance and HR reporting, guiding the transition from current-state to target-state.
- Design conceptual, logical, and physical data models, along with data flow diagrams and architecture standards.
- Provide hands-on direction for developers, ensuring solutions align with strategic goals and best practices.
- Lead the design and delivery of scalable, efficient data solutions that integrate with cloud platforms and third-party applications.
- Resolve data quality issues through reconciliation and collaboration with relevant stakeholders.
- Build strong relationships across teams to ensure alignment and effective communication.
- Champion diversity, equity, and inclusion, fostering a collaborative and respectful work environment.
Essential Skills
- Expertise in cloud data warehouse solutions, including Snowflake, Informatica CDI, and DBT.
- Strong experience delivering architectural frameworks, including data models and flow diagrams.
- Hands-on development of ELT pipelines, schemas, and standard database entities in a cloud environment.
- Advanced proficiency in SQL and Python for data processing and management.
- In-depth knowledge of finance or HR data, with the ability to address data quality challenges.
- Excellent problem-solving skills and the ability to deliver clear, actionable architectural designs.
- Skilled in communicating with senior leaders and executives, translating technical insights into business language.
- Familiarity with tools such as AutoSys, Databricks, and Informatica PowerCenter.
Desirable Skills
- Experience with SAP FI, SuccessFactors Employee Central, or SAP BW.
- Proficiency in Power BI and DBT.
- Knowledge of machine learning or AI applications.
- Experience leading product development as a Product Owner or Product Manager.
Why Join?
This role offers the chance to shape the strategic direction of finance and HR reporting and analytics within an organisation that values innovation, inclusion, and collaboration. You will work alongside talented professionals in a culture that promotes excellence and continuous development.
Finance Data Architect employer: Qh4 Consulting
Contact Detail:
Qh4 Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Architect
✨Tip Number 1
Familiarize yourself with the specific cloud data warehouse solutions mentioned in the job description, like Snowflake and Informatica CDI. Having hands-on experience or relevant projects to discuss can set you apart during the interview.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are essential for the role. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to process and manage data effectively.
✨Tip Number 3
Prepare to discuss your experience with data quality challenges, especially in finance or HR contexts. Be ready to share specific examples of how you've resolved such issues in past roles.
✨Tip Number 4
Highlight your collaboration skills and any experience you have in leading teams or projects. This role emphasizes building strong relationships across teams, so showcasing your ability to communicate effectively with both technical and non-technical stakeholders will be crucial.
We think you need these skills to ace Finance Data Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Finance Data Architect position. Understand the key responsibilities and essential skills required, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with cloud data warehouse solutions, data architecture frameworks, and any relevant tools like Snowflake or Informatica. Provide specific examples of projects where you've successfully implemented these technologies.
Showcase Problem-Solving Skills: Demonstrate your problem-solving abilities in your application. Include examples of how you've resolved data quality issues or delivered clear architectural designs that align with business goals.
Communicate Effectively: When writing your application, focus on clear and concise communication. Use language that translates technical insights into business terms, as this is crucial for engaging with senior leaders and executives.
How to prepare for a job interview at Qh4 Consulting
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud data warehouse solutions like Snowflake and Informatica CDI. Highlight specific projects where you designed data models or developed ELT pipelines, as this will demonstrate your hands-on skills and understanding of the technologies relevant to the role.
✨Communicate Clearly with Business Language
Since the role involves translating technical insights into business language, practice explaining complex data architecture concepts in simple terms. This will help you connect with senior leaders and show that you can bridge the gap between technical and non-technical stakeholders.
✨Emphasize Collaboration and Relationship Building
Discuss your experience in building strong relationships across teams. Provide examples of how you've collaborated with different stakeholders to resolve data quality issues or align on strategic goals, as this aligns with the company's focus on teamwork and communication.
✨Demonstrate Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data architecture and how you resolved them. Highlight your problem-solving approach and the actionable architectural designs you delivered, as this will showcase your ability to drive meaningful business outcomes.
