At a Glance
- Tasks: Design and implement innovative data architecture strategies and lead exciting data projects.
- Company: Join a forward-thinking organisation in Lincoln focused on data excellence.
- Benefits: Competitive hourly rate, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on emerging technologies and career advancement.
- Why this job: Make a real impact by shaping data solutions that drive business success.
- Qualifications: Experience in data architecture and strong leadership skills are essential.
The predicted salary is between 30.29 - 30.29 £ per hour.
Data Architect needed in Lincoln Paying £30.29 per hr ref 376142
Full time hours on a temporarybasis Key Responsibilities
Data Architecture & Strategy
Develop, implement, and maintain the organisation's data architecture strategy.
Design scalable data models, data warehouses, data lakes, and integration solutions.
Define and maintain data standards, frameworks, and best practices.
Ensure the organisation's data architecture aligns with strategic business objectives.
Lead data migration and transformation initiatives.
Leadership & Management
Provide technical leadership and mentoring to Data Engineers, BI Developers, Dashboard Designers, and other data professionals.
Act as the subject matter expert for data architecture and data management.
Lead significant data projects from concept through implementation.
Support the development of technical capabilities within the wider digital and data function.
Data Governance & Security
Establish and promote data governance standards and policies.
Define data classification frameworks and data quality standards.
Ensure compliance with GDPR, data privacy requirements, security regulations, and information governance policies.
Work closely with ICT, Information Management, and security teams to establish effective data access controls.
Analytics & Business Intelligence
Collaborate with analysts, stakeholders, and business teams to understand information and reporting requirements.
Translate business needs into effective data structures and analytical solutions.
Enable advanced analytics, predictive modelling, reporting, and business intelligence capabilities.
Support the development of enterprise dashboards and data-driven decision-making.
Cloud & Emerging Technologies
Design and maintain cloud-based data solutions using platforms such as Azure and AWS.
Evaluate emerging technologies and recommend innovative solutions that improve data capabilities.
Identify opportunities to maximise value from internal and external data sources.
Drive adoption of modern data engineering and architecture practices.
Stakeholder Engagement
Build strong relationships with senior leaders, technical teams, and external partners.
Communicate complex technical concepts to non-technical audiences.
Support business case development for data initiatives and technology investments.
Represent the organisation in regional and national data architecture forums and working groups.
If you are interested in the role, please email your CV toquoting the reference number.
Essential Employment is acting as an Employment Business in relation to this vacancy.
Essential Employment is an Equal Opportunities Employer.
All our roles may be subject to pre-employment checks including references so please beprepared
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Data Architect in Grantham employer: Essential Employment
As a leading organisation in homelessness prevention, we pride ourselves on fostering a supportive and collaborative work culture that empowers our employees to make a meaningful impact in the community. Our team enjoys comprehensive training opportunities, competitive benefits, and the chance to work closely with various agencies and community groups, enhancing their professional growth while contributing to vital social change. Located in a vibrant area, our office provides a dynamic environment where innovation and compassion drive our mission to prevent homelessness.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Grantham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Architect in Grantham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Essential Employment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Essential Employment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Essential Employment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Essential Employment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.