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- Tasks: Lead workshops and develop tailored solutions for complex data challenges.
- Company: Join Archive360, a leader in modern archiving platforms using AI and analytics.
- Benefits: Enjoy a collaborative culture with opportunities for professional growth and travel.
- Why this job: Be a trusted advisor in data science while working with innovative SaaS solutions.
- Qualifications: Experience in data management, pre-sales, and coding is essential.
- Other info: Opportunity to travel internationally and work with cutting-edge technology.
The predicted salary is between 48000 - 72000 £ per year.
About Archive360 Archive360 delivers a modern archiving platform that empowers organizations to address complex data governance and compliance challenges while leveraging AI and analytics. By transforming data into a trusted, accurate , and protected strategic asset, we help organizations achieve their business objectives and drive innovation. Position Overview: We are seeking a Pre-Sales Solutions Architect who blends technical expertise with a strong, charismatic presence in front of customers. You’ll partner closely with Sales, Product, and Engineering teams to deliver tailored solutions that solve complex data analysis and archiving challenges. Be an expert in big data analytics to excite customers about Archive360 . You will become a trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Archive360 Platform. ~ Lead workshops to help build the Archive360 community. ~ Develop customer relationships and build internal partnerships with account executives and teams . Experience with ETL tools such as Azure Data Factory and processes for data extraction, transformation, and loading ~ Must have experience with structured data management and migrations . ~ Involvement in application retirement projects, including data migration and decommissioning activities ~ Experience with data transformation techniques to support system migrations and data integration efforts ~ Experience, technical customer-facing and with a background in Analytics / Data Science or Data Engineering. ~ Proven pre-sales experience or equivalent customer-facing technical role (e.g., Solutions Engineer, Systems Architect, etc.). ~ Prior experience with coding in a programming language. ~ Ability and willingness to travel up to 30%, including internationally as needed. Experience with ERP systems, such as SAP or Oracle EBS. Work with innovative SaaS solutions that are transforming enterprise data management. ~ Join a company that values creativity, collaboration, and professional growth. ~
Solution Architect - Data Science employer: Archive360, Inc.
Contact Detail:
Archive360, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - Data Science
✨Tip Number 1
Familiarise yourself with Archive360's platform and its unique features. Understanding how their archiving solutions leverage AI and analytics will help you articulate your value during interviews and discussions.
✨Tip Number 2
Network with current employees or industry professionals who have experience in pre-sales roles, particularly in data science or analytics. They can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with ETL tools and structured data management in detail. Be ready to share specific examples of how you've successfully managed data migrations or transformations in previous roles.
✨Tip Number 4
Showcase your customer-facing experience by preparing anecdotes that highlight your ability to build relationships and deliver tailored solutions. This will demonstrate your fit for the role and your potential to become a trusted advisor for clients.
We think you need these skills to ace Solution Architect - Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and any pre-sales roles you've held. Emphasise your technical skills with ETL tools like Azure Data Factory and your experience with structured data management.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Archive360 and how your background aligns with their mission. Mention specific projects where you've successfully solved complex data challenges and how you can contribute to their community.
Showcase Technical Expertise: Be prepared to discuss your technical skills in detail. Highlight your experience with coding, data transformation techniques, and any relevant ERP systems like SAP or Oracle EBS. This will demonstrate your capability as a trusted advisor.
Prepare for Interviews: If selected for an interview, be ready to discuss your approach to leading workshops and building customer relationships. Think of examples that showcase your charisma and ability to engage with clients effectively.
How to prepare for a job interview at Archive360, Inc.
✨Showcase Your Technical Expertise
As a Solution Architect in Data Science, it's crucial to demonstrate your technical knowledge during the interview. Be prepared to discuss your experience with big data analytics, ETL tools like Azure Data Factory, and any relevant coding skills. Highlight specific projects where you've successfully implemented data solutions.
✨Engage with Charisma
This role requires a strong presence in front of customers. Practice your communication skills to ensure you can convey complex ideas clearly and confidently. Use examples from your past experiences to illustrate how you've built relationships and engaged with clients effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles, particularly around data governance and compliance, and be ready to explain how you approached these issues and what the outcomes were.
✨Demonstrate Your Collaborative Spirit
Since this position involves working closely with Sales, Product, and Engineering teams, be sure to highlight your teamwork skills. Share examples of how you've collaborated with different departments to deliver tailored solutions and drive successful project outcomes.
