At a Glance
- Tasks: Implement and support the Alation Data Intelligence Platform for data discovery and governance.
- Company: Join a leading tech firm in a hybrid work environment.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a collaborative setting.
- Why this job: Make an impact by enhancing data management and governance in a dynamic team.
- Qualifications: Experience with Alation and strong technical skills in data management.
The predicted salary is between 63000 - 77000 £ per year.
Role Summary
The Alation Technical Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives.
Key Responsibilities
- Platform Setup & Deployment: Install, deploy, and upgrade Alation platform components across cloud and/or on-premises environments. Configure integrations with enterprise infrastructure, authentication services, and security frameworks.
- Configuration & Administration: Configure Alation platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities.
- Data Source Onboarding & Metadata Hydration: Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from legacy repositories, including Excel-based inventories, data dictionaries, SharePoint-hosted metadata assets, and existing catalog/governance tools into Alation. Enable metadata extraction, profiling, lineage capture, catalog enrichment, and metadata quality processes to ensure comprehensive and accurate metadata availability. Support bulk metadata import, mapping, transformation, and reconciliation activities where metadata is sourced outside of automated connectors.
- Implementation Guidance & Operational Support: Apply Alation, metadata management, and data governance best practices to support successful platform adoption. Provide technical guidance, issue resolution, and operational support to business and technical stakeholders. Develop documentation, operational procedures, metadata onboarding standards, and knowledge transfer materials to support long-term platform sustainability. Collaborate with data owners, stewards, architects, and governance teams to improve metadata coverage, quality, and usability.
Desired Skills & Experience
Hands-on experience implementing and administering Alation Data Catalog. Strong understanding of data governance principles and practices.
Alation Technical Consultant CGEMJP00354051 in Street employer: Experis It
As a Cloud Security Engineer at our Knutsford location, you will join a dynamic and innovative team dedicated to driving secure digital transformation. We offer a hybrid work model that promotes work-life balance, alongside competitive rates and opportunities for professional growth in a supportive environment. Our culture fosters collaboration and continuous improvement, ensuring that you can thrive while making a meaningful impact on our cloud security capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Alation Technical Consultant CGEMJP00354051 in Street
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Alation Technical Consultant CGEMJP00354051 in Street
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Experis It, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Experis It, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Experis It’s attention and show the tangible impact of your work.
How to prepare for a job interview at Experis It
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Experis It.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Experis It.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Experis It.
