Senior Data Architect

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

Job summary

A leading global consultancy is seeking a Data Architect to design scalable data platforms on Google Cloud Platform. The successful candidate will lead a team to implement data solutions ensuring high-quality data standards. Strong GCP experience and programming skills in Python and SQL are essential.

Qualifications

• Proven background in designing data warehouses and data lakes.
• Strong programming skills in PySpark, Python, and SQL.
• Experience with BI and data visualisation tools.

Responsibilities

• Define and develop the overall data strategy and lead a team of data engineers.
• Ensure design and deployment of data platforms meet best practices.
• Collaborate with technical and non-technical stakeholders.

Skills

Data Quality

Programming in Python

Programming in SQL

ETL Processes

Data Mining

Data Storage Principles

Communication Skills

Education

BSc, MSc, or PhD in Computer Science

Tools

Google Cloud Platform

BigQuery

Composer

Looker

Power BI

Job description

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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.