Zearch are partnering with a leading GIS/Geo-spatial SaaS business and hiring for an experienced Data Architect to work on some top priority projects in the Telco & Utilities sectors.
Data Strategy & Assessment
- Collaborate directly with clients to evaluate the technical quality and business value of their datasets, performing detailed assessments to audit critical data elements.
- Assist clients in defining processes for data governance, ensuring data accuracy, completeness, and integrity across systems.
- Conduct comprehensive reviews of client systems to understand the structure and flow of customer interaction and life-cycle data.
GIS Data Modeling & Transformation
- Design GIS data models aligned with the client’s business objectives, transforming existing data structures using tools such as Python, Perl, Safe FME, and proprietary transformation utilities.
- Translate complex datasets into standardized formats that support scalable, automated transformation workflows.
- Establish automated ingestion processes to collect and process client data, triggering transformation routines as needed.
Documentation & Compliance
- Create and maintain detailed documentation of data architectures, model configurations, and data transfer processes.
- Ensure alignment with privacy and security compliance requirements, including standards such as PII, PCI, PI, FERC, and CPNI, based on project-specific guidelines.
Deployment & Operational Support
- Serve as a key contributor on deployment teams, driving successful implementation of new data models for client-facing applications.
- Partner with client stakeholders to prioritize and select data sources based on assessment outcomes and overarching business goals.
- Ensure all data collection and transfer methods are clearly documented and meet current best practices and internal standards.
- Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects.
ETL Development
- Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance.
Essential Skills & Experience
- Strong background in data architecture, large-scale data modelling, and extracting business insights from raw data.
- Proficiency in data mining and manipulation, with both structured and unstructured data.
- Advanced programming skills, particularly in Python and Perl; familiarity with shell scripting and object-oriented languages (e.g., Java, JavaScript).
- Deep understanding of relational databases, data modelling principles, and entity relationship design.
- Practical experience with network design platforms and GIS/CAD tools (e.g., Smallworld, ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.).
- Experience with business requirement analysis and the development of reporting and analytics structures.
- Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable.
- Strong knowledge of data privacy regulations and practices.
- Exposure to analytics and reporting tools is considered a plus.
General Qualifications
- Excellent communication skills, including executive presence in customer-facing roles.
- Strong interpersonal skills, with a focus on customer service and collaboration.
- Analytical mindset with exceptional attention to detail.
- Effective time manager with the ability to meet deadlines in fast-paced environments.
- Proven ability to design repeatable and automated data solutions.
- Adaptable and resilient under pressure.
Education & Background
- Bachelor’s or advanced degree in computer science, engineering, information systems, or a business/technology hybrid program (e.g., E&M, MBA).
- Significant experience in relevant technical fields may substitute for a formal IT-related degree.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect - Leading GIS/Geo-spatial Telco SaaS Business in Wolverhampton
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Zearch!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Zearch, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Zearch
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Zearch’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
