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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 technologies mentioned in the job description, such as Snowflake and Informatica. Having hands-on experience or relevant projects to discuss can set you apart during the interview.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of examples where you've resolved data quality issues or improved data architecture. Be ready to explain your thought process and the impact of your solutions.
✨Tip Number 3
Since this role emphasizes collaboration, think about how you've built relationships across teams in previous roles. Be prepared to share specific instances where effective communication led to successful project outcomes.
✨Tip Number 4
Highlight any experience you have with finance or HR data, especially if you’ve worked with tools like SAP FI or SuccessFactors. This knowledge will demonstrate your ability to address the unique challenges in these domains.
We think you need these skills to ace Finance Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Finance Data Architect position. Tailor your application to highlight your relevant experience in cloud data solutions and architectural frameworks.
Highlight Relevant Experience: In your CV and cover letter, emphasize your expertise in cloud data warehouse solutions like Snowflake and your hands-on experience with SQL and Python. Provide specific examples of how you've delivered scalable data solutions in previous roles.
Showcase Problem-Solving Skills: Demonstrate your problem-solving abilities by including examples of how you've resolved data quality issues or improved data processes in past projects. This will show your capability to deliver actionable architectural designs.
Communicate Effectively: When writing your application, ensure that you can translate technical insights into business language. Highlight your experience in communicating with senior leaders and how you foster collaboration across teams.
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. 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 for senior leaders, practice explaining complex data architecture concepts in simple terms. This will show that you can bridge the gap between technical and business teams, which is crucial for effective collaboration.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've resolved data quality issues in the past. Discuss the steps you took to reconcile data and collaborate with stakeholders, as this will illustrate your ability to tackle challenges and ensure data integrity.
✨Emphasize Collaboration and Inclusion
Since the company values diversity and teamwork, be ready to share experiences where you fostered a collaborative environment. Discuss how you built relationships across teams and contributed to a respectful workplace, aligning with their commitment to inclusion.
