Senior Data Architect

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

Job summary

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 role involves leading a team, ensuring data quality, and translating business needs into technical solutions, making for a significant impact in data architecture.

Qualifications

• Experience in designing data warehouse and data lake architectures.
• Familiarity with GCP core services and data quality principles.
• Strong programming skills in PySpark, Python, and SQL.

Responsibilities

• Define and develop data strategy aligning with client requirements.
• Lead a team of data engineers for efficient data solutions.
• Ensure deployment of GCP data platforms following best practices.

Skills

Data warehouse architecture

Data lake architecture

GCP data services

PySpark

Python

SQL

ETL processes

Data quality

Data visualization

Communication

Education

Degree in Computer Science, Mathematics, or related field

Tools

BigQuery

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.