Senior Data Architect

JR United Kingdom; Bolton; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading global consultancy is looking for a Senior Data Architect to design and implement scalable data platforms on Google Cloud Platform (GCP). This role requires extensive experience in data architecture, data quality, and collaboration with diverse teams. Candidates will be responsible for leading a team of data engineers and ensuring high performance in data systems, adhering to compliance standards.

Qualifications

• Extensive experience in data warehousing and data lake architectures.
• Hands-on expertise in GCP data services like BigQuery and Composer.
• Strong programming skills in PySpark, Python, and SQL.

Responsibilities

• Define and develop overall data strategy.
• Lead and mentor data engineers on data solutions.
• Collaborate with stakeholders for technical solutions.

Skills

Data Quality

Data Architecture

ETL Processes

Data Mining

Communication

Education

Degree in Computer Science, Mathematics, or related field

Tools

Google Cloud Platform

BigQuery

Looker

Power BI

Job description

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Senior Data Architect, bolton, greater manchester

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Client:

Anson McCade

Location:

bolton, greater manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

The Opportunity

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.