Senior Data Architect

JR United Kingdom; City of Edinburgh; On-site; GBP 70,000 - 90,000; Full time

Job summary

Une grande société de conseil mondial recherche un Data Architect expérimenté pour concevoir et livrer des plateformes de données sur Google Cloud Platform. Le candidat idéal aura une expertise dans la création et l'exploitation de l'architecture des données, en veillant à la qualité des données et à l'alignement avec les normes de conformité.

Qualifications

• Expérience en conception d'architectures de data warehouse.
• Expertise dans les services de données GCP.
• Compétences en programmation en PySpark, Python et SQL.

Responsibilities

• Définir la stratégie des données en fonction des exigences des clients.
• Diriger une équipe et mettre en œuvre des solutions de données.
• Assurer que les plateformes de données suivent les meilleures pratiques GCP.

Skills

Data quality

Data platforms

PySpark

Python

SQL

ETL processes

Data mining

Communication

Education

Degree in Computer Science

MSc or PhD in a related field

Tools

BigQuery

Looker

Power BI

Composer

Dataproc

Pub/Sub

Job description

Social network you want to login/join with:

A leading global consultancy organisation is seeking a skilled Data Architect to design and deliver robust, scalable data platforms on Google Cloud Platform (GCP). The ideal candidate will bring extensive experience in building and maintaining large-scale data warehouses, ensuring high standards of data quality, and adhering to best practices in data architecture.

Key Responsibilities

• Define and develop the overall data strategy in line with client requirements and compliance standards.
• Lead and mentor a team of data engineers to implement scalable and efficient data solutions.
• Translate business needs into technical solutions by collaborating with both technical and non-technical stakeholders.
• Ensure the design and deployment of data platforms follow GCP best practices for performance, reliability, and security.

Required Skills and Experience

• Proven background in designing data warehouse and data lake architectures.
• Demonstrable experience in building and operating large-scale data platforms on Google Cloud Platform, with a focus on data quality at scale.
• Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub.
• Strong programming skills in PySpark, Python, and SQL.
• Proficiency in ETL processes, data mining, and data storage principles.
• Experience with BI and data visualisation tools, such as Looker or Power BI.
• Excellent communication skills, with the ability to effectively bridge technical and business discussions.

Desirable Qualifications and Experience

• Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field.
• Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS.
• Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines.
• Understanding of monitoring, logging, and troubleshooting in cloud-based environments.
• Google Cloud Professional Data Engineer certification (or equivalent) is highly advantageous.