Senior Data Architect

JR United Kingdom; Peterborough; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading global consultancy organisation is seeking a skilled Data Architect to design and deliver robust data platforms on Google Cloud Platform (GCP). This role emphasizes building and maintaining large-scale data warehouses while ensuring high data quality and compliance with best practices. The ideal candidate will lead projects, mentor a team of engineers, and work closely with clients to meet their data needs.

Qualifications

• Proven experience in designing data architectures and building scalable data platforms.
• Hands-on expertise with GCP data services and strong programming skills in key technologies.
• Excellent communication skills to collaborate with both technical and business stakeholders.

Responsibilities

• Define and develop data strategy aligned with client requirements.
• Lead and mentor data engineers in implementing efficient solutions.
• Ensure compliance with GCP best practices for data platform performance and security.

Skills

Data warehouse architecture

Data lake architecture

Data quality

Programming in PySpark

Programming in Python

SQL

ETL processes

Data mining

Data storage principles

BI and data visualization tools

Education

BSc in Computer Science

MSc in Mathematics

PhD in a related field

Tools

Google Cloud Platform (GCP)

BigQuery

Looker

Power BI

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.