Senior Solution Architect - REMOTE at Jobgether

Rome, Lazio, Italy -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehousing, Analytics Engineering, Pre-Sales, Customer-Facing, Data Architecture, Technical Discovery, Product Demonstrations, Data Modeling, Integration, Automation, Optimization Techniques, SQL, Cloud Environments, Hybrid Data Environments, Communication Skills, Relationship Management

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Solution Architect. In this pivotal role, you will serve as a leading technical advisor, guiding potential clients through the sales process. Your expertise will help clients recognize how they can leverage advanced data warehousing technologies to drive innovation and efficiency. Collaboration will be key as you work with sales, product management, and support teams, ensuring clients receive tailored solutions that meet their specific needs. This role requires a unique ability to communicate complex technical concepts in an understandable manner, establishing strong relationships with stakeholders and contributing significantly to customer success. \n Accountabilities Act as a trusted technical advisor throughout the sales cycle from discovery to implementation Design and articulate robust data architecture solutions tailored for customer requirements Lead technical discovery sessions to comprehend customer data environments and needs Deliver engaging product demonstrations and proof-of-value initiatives Translate customer requirements into viable data warehouse designs using best practices Advise on data modeling, integration, automation, and optimization techniques Collaborate with cross-functional teams for effective solution positioning and feedback Support RFP responses with detailed architecture solutions and design insights Assist in customer onboarding to ensure seamless integration and usage Stay informed about industry trends and technological advancements in data warehousing Requirements 5+ years of experience in data warehousing or analytics engineering 3+ years in a pre-sales or customer-facing technical role within technology sectors Deep understanding of data warehouse concepts including ELT/ETL patterns Hands-on experience with modern data platforms such as Snowflake or SQL Server Strong SQL skills with a focus on performance and optimization Ability to present and explain complex concepts to varied audiences Experience working in cloud and hybrid data environments Excellent communication and relationship management skills Ability to work independently and prioritize multiple projects Benefits Opportunity for flexible remote work Collaborative and inclusive company culture Access to cutting-edge technologies and tools Support for professional development and training programs Comprehensive health and wellness benefits Potential for career advancement within a growing organization Creative and dynamic work environment \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Act as a trusted technical advisor throughout the sales cycle, from discovery to implementation. Design and articulate robust data architecture solutions tailored for customer requirements while collaborating with cross-functional teams.