#1805
N-iX is an international company with Ukrainian roots that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries spanning Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.
Join our Data and Analytics Practice , part of the Technology Office, as a Data Solution Architect (Data Platform Modernization)where you will play a pivotal role in modernizing data platforms and driving data-driven insights for our clients. As a Solution Architect, you will leverage your deep expertise in data platforms to design and implement advanced data solutions, ensuring our clients can effectively transform their data into valuable business outcomes.
Responsibilities:
- Client Engagement: Demonstrate deep expertise in Data Platform Modernization to build credibility with prospective clients. Share relevant customer stories and proof points
- Requirement Analysis: Engage clients to understand their needs, scope projects, and define solutions. Articulate business benefits, use cases, and create roadmaps to achieve client goals
- Presales Support: Assist the sales team in creating customer proposals, including Statements of Work (SOWs) and responses to RFPs. Participate in project scoping calls
- Opportunity Identification: Identify opportunities to upgrade and optimize clients’ data platforms to meet modern demands
- Implementation Support: Play a key role in overseeing Data Platform modernization implementation projects. Ensure the solution meets client requirements and provide best practice guidance
- Architectural Guidance: Provide strategic guidance and support in architecting and planning the implementation of modern data platforms for clients
- Technology Assessment: Stay current with the latest developments in modern data platforms and apply this knowledge to client projects
- Stakeholder Collaboration: Participate in meetings with internal and external stakeholders, including Delivery Managers, Account Managers, Client Partners, and Delivery Teams, as well as ecosystem partners
- Practice Development: Co-create and develop the Data & Analytics practice within the company, focusing on data services and consulting offerings
Requirements:
- Proven Experience: Minimum of 5 years of experience working with Azure Data Services: Synapse Analytics, Data Factory, Power BI
- MS Fabric Experience: Existing experience in MS Fabric and “Microsoft Certified: Fabric Analytics Engineer Associate” certification is a plus
- Architectural Expertise: Over 10 years of progressive experience from data engineer to Architect role, designing, building, and maintaining complex solutions
- Solution Design: Expert knowledge and experience applying data concepts like Data Mesh, Data Fabric, Data Warehouse, Data Lake, Data Lakehouse, from design to implementation
- Sales Acumen: Worked on implementation/proposals as a Solution Architect responsible for designing solutions end to end
- Cloud Data Knowledge: Strong knowledge of the Cloud Data Platform landscape, including vendors and offerings across domains such as Cloud Data Platform foundations, migration and modernization, and data intelligence
- Continuous Learning: Passion, curiosity and desire to learn what is new in the data platforms market, modern technology trends and data stacks
- Communication Skills: Ability to present technical ideas in a business-friendly language. Excellent English verbal and written communication skills is a must.
- Travel: Willingness to travel on business as required
We offer:
- Flexible working format – remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
Azure Data Factory Data Mesh Lifelong learning data-warehouse Data lake Azure Data Services Cloud data platforms Power BI Data Lakehouse