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- Tasks: Analyze data quality, integrate systems, and build new processes for data collection.
- Company: Join a leading Tier 1 Cloud SaaS provider focused on innovative HR solutions.
- Benefits: Collaborate with a dynamic team and gain exposure to cutting-edge cloud technologies.
- Why this job: Shape the future of data architecture while enhancing your skills in a supportive environment.
- Qualifications: Experience in HR systems, cloud technologies, and strong stakeholder management skills required.
- Other info: Work with a talented team including data scientists and engineers, and make a real impact.
The predicted salary is between 48000 - 72000 £ per year.
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Analysis of data quality and completeness (ie usefulness) of what we have today
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Cataloguing of previous work including mothballed products and previous one-off projects
- Integrate existing systems to bring more data in analytical warehouses
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Full architectural mapping of remaining systems and mapping of potential data flows, including gap analysis
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Effort estimation and skillset combination needed to deliver the integration for each potential flow
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Prioritisation against potential use cases (as below)
- Build new systems/process to provide more complete data collection
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Use gap analysis from (2) to identify and analyse existing processes/workflows that could fill data gaps
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Prioritised and scoped applications and process changes to fulfil all remaining high value use cases eg can map rejected leave requests to sickness absence
You will work with the following team:
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1 data scientist
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1 data engineer
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3 business analysts
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SME support is available, You will not be responsible for the Ingestion of the data from old systems to the new one, and doesn’t have to be an expert of the target system,
Most likely your responsibility/accountability will be
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Recognition of the as is
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Strategy in what needs to be migrated and where to host the data that is not migrated:
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It could be older data
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It could be recent data that doesn’t fit in the new system
How to combine old and current data
Data Quality strategy
Security and cyber framework
Data Ready for Advanced Analytics and AI use cases
Creating (with Data Engineers) composable Data Products for the above and (less) operational use cases (inc. streaming)
To a Tier 1 Cloud SaaS provider, still to be chosen (the likes of SAP Success Factors, Oracle, WorkDay etc).
In this case my client needs a more strategic thinker with good stakeholder management skills.
The main tech stack (target) is AWS S3, Snowflake, DBT, potentially Starburst.
In general these are bullet points of the requirements:
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HR Systems/Data Experience
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Personal/Sensitive/GDPR Data Handling capabilities
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Supplier Management skills
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Good Knowledge of Cloud Technologies eg AWS, Snowflake
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Solution Architecture/Data Modelling skills
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Logical Data Models
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Physical Data Models
Stakeholder Management/Engagement
Strong communication/presentation skills
SQL/Python/Linux
Be able to produce clear and concise documentation
Data Products Architect - HR Systems - Cloud migration employer: Talent Zone ltd
Contact Detail:
Talent Zone ltd Recruiting Team
+447403172159
StudySmarter Expert Advice 🤫
We think this is how you could land Data Products Architect - HR Systems - Cloud migration
✨Tip Number 1
Fokussiere dich auf deine Erfahrungen mit Cloud-Technologien, insbesondere AWS und Snowflake. Bereite konkrete Beispiele vor, wie du diese Technologien in früheren Projekten eingesetzt hast, um Daten zu integrieren oder zu analysieren.
✨Tip Number 2
Zeige deine Fähigkeiten im Stakeholder-Management. Überlege dir, wie du in der Vergangenheit erfolgreich mit verschiedenen Interessengruppen kommuniziert und zusammengearbeitet hast, um Lösungen zu entwickeln und umzusetzen.
✨Tip Number 3
Bereite dich darauf vor, über deine Kenntnisse in der Datenmodellierung zu sprechen. Sei bereit, logische und physische Datenmodelle zu erläutern und wie du diese in der Praxis angewendet hast, um Datenflüsse zu optimieren.
✨Tip Number 4
Denke an spezifische Anwendungsfälle, die du priorisieren würdest, um Datenlücken zu schließen. Überlege dir, wie du bestehende Prozesse analysieren und verbessern kannst, um wertvolle Erkenntnisse zu gewinnen.
We think you need these skills to ace Data Products Architect - HR Systems - Cloud migration
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with data quality analysis, cloud technologies, and stakeholder management in your application.
Tailor Your CV: Customize your CV to reflect relevant experiences that align with the job's focus on data architecture, integration, and cloud migration. Emphasize your skills in SQL, Python, and any previous work with HR systems or sensitive data handling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your strategic thinking and problem-solving abilities. Discuss how your past experiences have prepared you for the challenges outlined in the job description, particularly in relation to data integration and quality strategies.
Highlight Communication Skills: Since strong communication and presentation skills are essential for this role, provide examples in your application of how you've effectively engaged with stakeholders and communicated complex data concepts in previous positions.
How to prepare for a job interview at Talent Zone ltd
✨Showcase Your Data Quality Expertise
Be prepared to discuss your experience with data quality analysis and completeness. Highlight specific examples where you've successfully identified gaps in data and how you addressed them, as this aligns closely with the job's focus on data quality strategy.
✨Demonstrate Architectural Mapping Skills
Familiarize yourself with architectural mapping concepts and be ready to explain how you've previously mapped systems and data flows. Discuss any gap analysis you've conducted and how it informed your decision-making process.
✨Highlight Stakeholder Management Experience
Since strong stakeholder management skills are crucial for this role, prepare examples of how you've effectively engaged with various stakeholders in past projects. Emphasize your communication and presentation skills, as these will be key in conveying complex information.
✨Understand Cloud Technologies
Brush up on your knowledge of cloud technologies, particularly AWS and Snowflake, as well as their applications in data architecture. Be ready to discuss how you've utilized these technologies in previous roles, especially in relation to HR systems and data handling.
