Company description
Our client teams operate globally from offices in the UK, Ireland, US, Nordics, and Netherlands. With diverse teams of experts combining innovative thinking and breakthrough technologies to progress further and faster, their clients adapt and transform, achieving enduring results.
Working with clients in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport, the Data Architect will join the business at a period of huge growth.
Key Responsibilities:
Design and Develop Data Architecture: Create, optimise, and maintain conceptual, logical, and physical data models to support the enterprise data strategy.
Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls.
Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to support the organisation's data infrastructure.
Data Integration: Develop and manage ETL (Extract, Transform, Load) processes to ensure data from multiple sources is properly integrated into centralized systems.
Collaboration and Communication: Work closely with business stakeholders, data analysts, data engineers, and clients to understand requirements and deliver scalable data solutions.
Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA) by implementing data encryption and anonymisation techniques.
Documentation: Create detailed documentation of data architecture, flows, and processes for ongoing improvement and knowledge sharing.
Required Qualifications:
Experience:
5+ years of experience in data architecture, database design, or data engineering roles.
Proven experience with database management systems (e.g., Oracle, SQL Server, PostgreSQL) and data warehousing technologies.
Experience with cloud-based data solutions (AWS, Azure, GCP).
Familiarity with big data technologies like Hadoop, Spark, and Kafka.
Technical Skills:
Proficiency in data modelling (ERD, normalization) and data warehousing concepts.
Strong understanding of ETL frameworks and tools (e.g., Talend, Informatica, Apache NiFi).
Knowledge of programming languages such as SQL, Python, or Java.
Experience with BI tools (e.g., Power BI, Tableau) and data visualisation best practices.
Soft Skills:
Excellent problem-solving skills and attention to detail.
Strong communication skills to explain technical concepts to non-technical stakeholders.
Ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
Familiarity with Agile/Scrum methodologies.
Certifications in data management (e.g., CDMP, AWS Certified Data Analytics, Google Cloud Data Engineer).
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Our client teams operate globally from offices in the UK, Ireland, US, Nordics, and Netherlands. With diverse teams of experts combining innovative thinking and breakthrough technologies to progress further and faster, their clients adapt and transform, achieving enduring results.
Working with clients in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport, the Data Architect will join the business at a period of huge growth.
Key Responsibilities:
Design and Develop Data Architecture: Create, optimise, and maintain conceptual, logical, and physical data models to support the enterprise data strategy.
Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls.
Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to support the organisation's data infrastructure.
Data Integration: Develop and manage ETL (Extract, Transform, Load) processes to ensure data from multiple sources is properly integrated into centralized systems.
Collaboration and Communication: Work closely with business stakeholders, data analysts, data engineers, and clients to understand requirements and deliver scalable data solutions.
Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA) by implementing data encryption and anonymisation techniques.
Documentation: Create detailed documentation of data architecture, flows, and processes for ongoing improvement and knowledge sharing.
Required Qualifications:
Experience:
5+ years of experience in data architecture, database design, or data engineering roles.
Proven experience with database management systems (e.g., Oracle, SQL Server, PostgreSQL) and data warehousing technologies.
Experience with cloud-based data solutions (AWS, Azure, GCP).
Familiarity with big data technologies like Hadoop, Spark, and Kafka.
Technical Skills:
Proficiency in data modelling (ERD, normalization) and data warehousing concepts.
Strong understanding of ETL frameworks and tools (e.g., Talend, Informatica, Apache NiFi).
Knowledge of programming languages such as SQL, Python, or Java.
Experience with BI tools (e.g., Power BI, Tableau) and data visualisation best practices.
Soft Skills:
Excellent problem-solving skills and attention to detail.
Strong communication skills to explain technical concepts to non-technical stakeholders.
Ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
Familiarity with Agile/Scrum methodologies.
Certifications in data management (e.g., CDMP, AWS Certified Data Analytics, Google Cloud Data Engineer).
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