Job Resources for Data platform architect in UK

Job Statistics for Data platform architect in the UK

Category Value
Standardised Annual Rate £61,221.00
Standardised Daily Rate £255.00
Standardised Hourly Rate £34.00
No Jobs in Hourly Rate 12
No Jobs in Daily Rate 40
No Jobs in Annual Rate 285

Pay Structure Analysis for Data platform architect

📊 **Pay Structure Analysis for Data platform architect** • **Hourly-based:** 3.6% (12 jobs) • **Daily-based:** 11.9% (40 jobs) • **Annual salary:** 84.6% (285 jobs) ✅ **Trend:** Most Data platform architect positions offer a **fixed annual salary**, suggesting long-term employment stability.

Core and Soft Skills demanded for Data platform architect

Task Description:
Analyze multiple job descriptions for the title "Data Platform Architect" and extract the core skills, technical/hard skills, and soft skills required. Provide the results in a clean and readable format.

Input: Multiple job descriptions for the title "Data Platform Architect".

Output:

Core Skills Required:

* Strong understanding of data architecture and design patterns
* Experience with data warehousing, ETL, and data governance
* Familiarity with cloud computing platforms (AWS, Azure, Google Cloud)
* Ability to work with large datasets and identify opportunities for improvement

Technical/Hard Skills Required:

* Proficiency in programming languages such as Python, R, or SQL
* Experience with data engineering tools and technologies (e.g., Apache Airflow, AWS Lambda)
* Knowledge of cloud-based data platforms (AWS Redshift, Google BigQuery)
* Familiarity with data visualization tools (e.g., Tableau, Power BI)

Soft Skills Required:

* Strong communication and collaboration skills
* Ability to work with cross-functional teams and stakeholders
* Problem-solving and critical thinking abilities
* Adaptability and willingness to learn new technologies and techniques.

Comments:

* These job descriptions highlight the importance of a strong understanding of data architecture and design patterns, as well as experience with cloud computing platforms and data engineering tools.
* The requirement for proficiency in programming languages such as Python or R suggests that Data Platform Architects should be skilled in data manipulation and analysis.
* The emphasis on communication and collaboration skills underscores the importance of working effectively with cross-functional teams and stakeholders.
* The mention of adaptability and willingness to learn new technologies and techniques highlights the dynamic nature of this role and the need for continuous learning and improvement.

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