Senior Data Architect

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

Job summary

A leading global consultancy organization is seeking a skilled Data Architect to design and deliver robust, scalable data platforms on Google Cloud Platform (GCP). The role involves defining the data strategy, mentoring a team, and ensuring project delivery aligns with best practices, suitable for professionals with extensive experience in data architecture and data quality assurance.

Qualifications

• Proven background in designing data warehouse and data lake architectures.
• Experience in building large-scale data platforms on Google Cloud Platform.
• Strong programming skills in PySpark, Python, and SQL.

Responsibilities

• Define and develop the overall data strategy in line with client requirements.
• Lead and mentor a team of data engineers.
• Ensure GCP best practices for design and deployment.

Skills

Data quality

ETL processes

Data mining

Data storage principles

Communication

Education

BSc, MSc, or PhD in Computer Science, Mathematics, or related field

Tools

BigQuery

Composer

Dataform

Dataproc

Pub/Sub

Looker

Power BI

PySpark

Python

SQL

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.