Senior Data Architect

JR United Kingdom; Worcester; On-site; GBP 65,000 - 95,000; Full time

Job summary

A leading global consultancy organization is seeking a skilled Data Architect to design robust, scalable data platforms on Google Cloud Platform (GCP). This role will involve mentoring a team, translating business needs into tech solutions, and ensuring high data quality standards are met. The ideal candidate will possess strong experience in data architecture and programming, especially in a large-scale data environment.

Qualifications

• Experience in designing data warehouse and data lake architectures.
• Expertise in GCP data services with focus on data quality.
• Strong programming skills in PySpark, Python, SQL.

Responsibilities

• Define and develop overall data strategy to meet client requirements.
• Lead a team of data engineers to implement solutions.
• Ensure design/deployment adheres to GCP best practices.

Skills

Data quality

Data architecture

Cloud computing

Communication

Programming

Education

Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field

Tools

Google Cloud Platform

BigQuery

PySpark

Python

SQL

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.