At a Glance
- Tasks: Design and implement cutting-edge data architecture strategies and solutions.
- Company: Join a forward-thinking organisation in Lincoln with a focus on innovation.
- Benefits: Competitive hourly rate, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Lead impactful data projects and shape the future of data management.
- Qualifications: Experience in data architecture and strong leadership skills required.
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.
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 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
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Essential Employment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Essential Employment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Essential Employment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Essential Employment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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!
✨Showcase Your Projects
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.
