Senior Solution Architect
Job Description
Requirements:
- Architectural & Data Solution Design: Create scalable, secure Microsoft Azure cloud architectures including data lakes, data warehouses, and real-time analytics solutions.
- Client Engagement: Collaborate with clients to gather requirements and translate them into effective cloud and data strategies.
- Technical Leadership: Provide mentorship and guidance to project teams, ensuring the adoption of best practices and industry standards.
- Integration & Migration: Lead initiatives for seamless data and cloud integrations, managing migrations from on-premises or alternative cloud platforms.
- Data Analytics & BI: Develop solutions leveraging Azure tools, such as Power BI, to deliver actionable insights and support data-driven decisions.
- Innovation: Stay current with Azure developments and emerging data technologies to continuously improve cloud and data capabilities.
- Stakeholder & Risk Management: Manage key relationships, clearly communicate technical concepts, and mitigate risks while ensuring compliance with security and regulatory standards.
Preferences:
- Over 12 years of IT experience with at least 5 years focused on Microsoft Azure and data platforms.
- Possess relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or Data Analyst Associate.
- Demonstrated proficiency in Azure services (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database), data management, warehousing, lakes, and analytics; also skilled in scripting (PowerShell, Azure CLI) and data integration tools.
- Proven track record in managing complex projects and leading cross-functional teams, with familiarity in Agile methodologies.
- Excellent verbal and written communication abilities, capable of conveying complex technical and data concepts to non-technical audiences.
- Strong analytical and problem-solving skills to effectively troubleshoot and resolve cloud and data solution issues.
- A bachelor s degree in a related field is required, with a master s degree or additional certifications seen as an advantage.
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About Company
Skills:
application migration , application discovery , migration strategy, Solution Architecture, Cloud Architecture, Risk Assessment, Stakeholder Management, Application Dependency Mapping
Skills:
Machine Learning, Apis, Data Governance, RAG embeddings, Generative AI, cloud platforms, vector databases, data and analytics, semantic retrieval, prompt engineering, enterprise application development, full-stack technologies, Analytics Solutions, Agentic AI, AI LLM-powered applications, Optimization Techniques, reranking, Statistical Modeling, intelligent automation, modern data platforms, AI evaluation, time-series analysis
Skills:
Distributed Systems, AI architecture patterns, data platforms, prompt and tool orchestration, reference architectures, retrieval systems, agentic workflows, Security, APIs integration, LLM-based applications, cloud-native solutions, architecture standards, AI solutions
Skills:
data warehouses , Machine Learning, Data Governance, RAG embeddings, Generative AI, data quality frameworks, cloud platforms, vector databases, data and analytics, semantic retrieval, enterprise application development, prompt engineering, full-stack technologies, Agentic AI, LLM-powered applications, Optimization Techniques, Statistical Modeling, reranking, modern data platforms, AI evaluation, time-series analysis, AI solutions
Skills:
threat modeling , Cybersecurity, Microservices, Distributed Systems, Solution Architecture, API-driven ecosystems, Containerization technologies, Security Monitoring, Incident prevention, Regulatory Compliance, Cloud-native architectures, Data protection strategies, Risk Mitigation