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For Companies At a Glance
- Tasks: Design and develop cloud-based data products while collaborating with IT teams.
- Company: Join a global leader in energy services focused on innovative data solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of a team that shapes the future of data in the energy sector.
- Qualifications: Degree in STEM or equivalent experience; proficiency in programming and SQL required.
- Other info: Contribute to a positive HSEQ culture and engage with cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ per year.
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.
Overview job description:
Responsibilities include understanding existing enterprise data architecture and source systems, designing cloud-native data products, and leading the implementation of these data products while collaborating with other IT colleagues. All data products deployed onto the CDE must adhere to the company Data Governance Framework, thus requiring close collaboration between this role and our Data Governance Team to ensure alignment in terms of data security and management principles. The role will also support business end-users in utilising data analysis tools such as Power BI and 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.
- Collaborating with other IT Teams to deliver solutions.
- 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.
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Data Architect - VR/30847 employer: Tmm Recruitment
Contact Detail:
Tmm Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - VR/30847
✨Tip Number 1
Familiarize yourself with the specific cloud technologies mentioned in the job description, especially Azure services like Azure SQL and Azure Data Factory. Having hands-on experience or projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data architecture field, particularly those who work with cloud-based solutions. Engaging with industry peers can provide insights into best practices and may even lead to referrals for the position.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of how you've tackled complex data challenges in previous roles. Be ready to discuss these scenarios during interviews to showcase your analytical capabilities.
✨Tip Number 4
Stay updated on the latest trends in data governance and business intelligence tools like Power BI. Showing that you are proactive about learning and adapting to new technologies will impress potential employers.
We think you need these skills to ace Data Architect - VR/30847
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarize yourself with the company's Connected Data Environment and how your skills can contribute to enhancing it.
Tailor Your CV: Customize your CV to highlight relevant experience in data architecture, cloud technologies, and business intelligence tools like Power BI. Emphasize your proficiency in programming languages such as Python and SQL, and any experience with Azure services.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific needs of the role. Discuss your experience with data governance, collaboration with IT teams, and your ability to communicate technical concepts to non-technical stakeholders.
Showcase Problem-Solving Skills: In your application, provide examples of how you've successfully addressed business challenges through data solutions. Highlight your analytical and problem-solving skills, and how they align with the company's goals for their data products.
How to prepare for a job interview at Tmm Recruitment
✨Understand the Data Architecture
Make sure you have a solid grasp of data architecture principles. Be prepared to discuss how you would assess existing data systems and design new cloud-native data products that align with business needs.
✨Showcase Your Technical Skills
Highlight your proficiency in programming languages like Python, SQL, and your experience with Azure services. Be ready to provide examples of how you've used these skills in past projects, especially in relation to data analysis and engineering.
✨Emphasize Collaboration
This role requires close collaboration with various teams, including Data Governance and IT colleagues. Prepare to discuss your experience working in cross-functional teams and how you ensure alignment on data security and management principles.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of specific challenges you've faced in previous roles and how you approached them, particularly in the context of data governance and analytics tools like Power BI.
