Data Architect - VR/30847

A global energy services company is seeking a Data Architect to enhance its cloud-based Connected Data Environment. This role involves designing and developing data products, collaborating on data governance, and supporting analytics tools like Power BI and AI solutions. The primary responsibility of this position will be to comprehend business challenges presented to the IT Department and then design, develop, and improve the CDE data product offerings to address those needs.

To be successful in this role, candidates must be capable of assessing existing data systems, applying data architecture principles to design new CDE data product requirements, and delivering new solutions onto the CDE platform. Candidates should have experience in data analysis, data engineering, and business intelligence practices, as well as strong analytical and problem-solving skills. All personnel are expected to contribute to creating a positive HSEQ culture within the company and ensure familiarity with and adherence to local HSEQ codes and practices.

Responsibilities include:

• Understanding existing enterprise data architecture and source systems.
• Designing cloud-native data products.
• Leading the implementation of these data products while collaborating with other IT colleagues.
• Ensuring all data products deployed onto the CDE adhere to the company Data Governance Framework.
• Supporting business end-users in utilising data analysis tools such as Power BI and assisting data scientists with machine learning and AI toolsets.

Main duties and responsibilities:

• Maintaining and contributing to the continuous development of our data platform.
• Creating, enhancing, and maintaining data products deployed onto CDE.
• Creating, enhancing, and maintaining architecture and systems documentation.
• Collaborating with other functions to ensure data needs are addressed.
• Providing technical support and monitoring within our data platform.
• Providing technical expertise, guidance, and best practice on data-related subjects.

Key Relationships/Stakeholders:

• External: Key IT Partners; Industry peers.
• Internal: Other IT colleagues across the full range of disciplines; Business users and key functional stakeholders; Key business stakeholders in our Data Governance framework.

Applicants to this role require:

• Required: Professional qualifications – candidate should be degree qualified in a STEM discipline or have proven equivalent experience.
• Proficiency with a modern programming language; Python preferred, Java, JavaScript, Scala, etc.
• Proficiency with using SQL to analyse and query structured data stores.
• Proficiency with designing, developing, and documenting data products.
• Proficiency with modern public cloud data offerings; Azure preferred, specifically Azure SQL, Azure Data Factory, Azure Databricks, Microsoft Fabric.
• Experience with Modern Data Warehouse and Lakehouse architectural principles.
• Experience with DevOps workflows and principles.
• Ability to understand technical concepts to articulate them to non-technical audiences.
• Strong interpersonal skills.

Desirable:

• Experience with Business Analysis skills to understand existing data management processes.
• Experience with modern Business Intelligence toolkits; Power BI preferred.
• Experience with implementing and supporting Data Governance Frameworks.
• Familiarity with optimisation of data processing workloads.
• Familiarity with message queuing and stream processing.
• Familiarity with implementing machine learning and AI workflows.
• Familiarity with GCP data toolkits and AI offerings.