Senior Data Architect

JR United Kingdom; Nottingham; On-site; GBP 65,000 - 90,000; Full time

Job summary

A leading global consultancy is looking for a skilled Data Architect to create and implement effective data strategies using Google Cloud Platform (GCP). This role involves leading teams, ensuring data quality standards, and aligning data architectures with compliance requirements. The ideal candidate will possess significant experience in large-scale data solutions and a strong technical background in GCP services.

Qualifications

• Proven experience in data warehouse and lake architectures.
• Hands-on expertise with GCP data services.
• Strong programming skills in PySpark, Python, SQL.

Responsibilities

• Define and develop data strategy in line with client requirements.
• Mentor data engineers to implement scalable data solutions.
• Translate business needs into technical solutions through collaboration.

Skills

Data quality

Data architecture

ETL processes

Data mining

Data storage principles

Communication

Education

Degree in Computer Science, Mathematics, or related field

Tools

BigQuery

Looker

Power BI

Databricks

Snowflake

Azure

AWS

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.