Senior Solutions Architect (Databricks Specialist)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Architect (Databricks Specialist) based in United Arab Emirates. This is a senior architecture role supporting a major data modernization program within a highly regulated financial services environment. You’ll provide strategic direction for the transition from traditional Microsoft and SQL Server ecosystems to a modern Databricks-based data platform. Your focus will be on defining target-state architecture, establishing governance, and creating scalable standards and implementation frameworks. You’ll work closely with experienced Data Engineering teams, providing guidance on architecture, performance, security, scalability, and cost optimization. The role also offers significant influence over the organization’s future AI, machine learning, analytics, and reporting capabilities. You’ll engage with senior technology and business stakeholders, translating complex architecture decisions into clear strategic recommendations. This is an opportunity to shape an enterprise-scale transformation while driving measurable business value from modern cloud data technologies. Accountabilities • Provide strategic architectural leadership for Databricks adoption and enterprise-wide data modernization initiatives. • Define scalable, secure, and future-ready data and analytics architectures aligned with business, AI, and technology objectives. • Establish architectural frameworks, standards, design patterns, governance models, and best practices for Databricks implementation. • Guide Data Engineering teams on solution architecture, scalability, performance optimization, security, governance, and implementation decisions. • Assess existing SQL Server and Microsoft-centric data environments and define practical migration strategies toward Databricks. • Design target-state architectures that support advanced analytics, business intelligence, AI, and machine learning use cases. • Evaluate platform utilization, architecture decisions, and technology investments to improve cost efficiency and maximize return on investment. • Establish architecture review processes, implementation roadmaps, and governance mechanisms across the transformation program. • Provide executive-level recommendations on technology direction, strategic opportunities, risks, dependencies, and investment priorities. • Collaborate with business stakeholders, technology leadership, engineering teams, vendors, and other partners to drive successful delivery. • Ensure solution designs meet enterprise architecture principles, security requirements, governance standards, and applicable regulatory obligations. • Identify technical risks and dependencies early and develop appropriate mitigation strategies. • Mentor engineering teams and promote architectural consistency, technical excellence, and adoption of modern data platform practices. Requirements • 10+ years of experience in Solution Architecture, Enterprise Architecture, Data Architecture, or closely related senior technical roles. • Extensive hands-on experience designing, implementing, and optimizing Databricks solutions in enterprise environments. • Deep knowledge of modern enterprise data platforms, including Data Lakehouse architecture and cloud-based data ecosystems. • Strong understanding of data governance, security, compliance, data management, and risk management frameworks. • Proven experience delivering large-scale data transformation, modernization, and cloud migration programs. • Experience developing enterprise architecture standards, frameworks, governance models, and implementation strategies. • Strong knowledge of enterprise integration patterns and modern cloud architectures. • Experience enabling analytics, business intelligence, AI, and machine learning platforms through enterprise data architecture. • Experience with Microsoft Azure Data Services, particularly Azure Data Factory, Azure Synapse Analytics, and SQL Server, is highly valuable. • Familiarity with Delta Lake, Unity Catalog, DataOps, DevOps, and AI/ML platform architecture is preferred. • Experience working in Financial Services, Banking, Insurance, or another highly regulated industry. • Relevant certifications in Databricks, Azure/cloud platforms, TOGAF, or related disciplines are advantageous. • Strong strategic leadership and commercial awareness, with the ability to connect technology decisions to long-term business value. • Comfortable influencing C-suite executives, senior business leaders, technology leadership, and engineering teams. • Excellent communication, presentation, and facilitation skills, with the ability to translate complex technical concepts into clear business language. • Strong architectural judgment, analytical thinking, problem-solving, and decision-making capabilities. • Results-oriented and focused on measurable business outcomes, cost efficiency, scalability, and sustainable technology investments. • Able to work independently while providing direction and mentorship to large technical teams. Benefits • 100% remote position, allowing you to work from Poland. • Opportunity to shape a large-scale enterprise data modernization program within the financial services sector. • Significant influence over target-state architecture, governance, technology standards, and long-term data strategy. • Opportunity to work extensively with Databricks, Lakehouse architecture, Azure, cloud data platforms, and AI/ML enablement. • Exposure to complex enterprise-scale transformation and cloud migration initiatives. • Senior-level interaction with technology leadership, business stakeholders, engineering teams, and vendors. • Opportunity to mentor experienced engineering teams and establish architectural best practices. • Ability to influence technology investments and help drive measurable business and operational value. • Remote working environment with a strategic, high-impact scope. How Jobgether Works 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! Why Apply Through Jobgether? 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judg

10+ years of experience in Solution Architecture, Enterprise Architecture, Data Architecture, or closely related senior technical roles. Extensive hands-on experience designing, implementing, and optimizing Databricks solutions in enterprise environments. Deep knowledge of modern enterprise data platforms, including Data Lakehouse architecture and cloud-based data ecosystems. Strong understanding of data governance, security, compliance, data management, and risk management frameworks. Proven experience delivering large-scale data transformation, modernization, and cloud migration programs. Experience developing enterprise architecture standards, frameworks, governance models, and implementation strategies. Strong knowledge of enterprise integration patterns and modern cloud architectures. Experience enabling analytics, business intelligence, AI, and machine learning platforms through enterprise data architecture. Experience with Microsoft Azure Data Services, particularly Azure Data Factory, Azure Synapse Analytics, and SQL Server, is highly valuable. Familiarity with Delta Lake, Unity Catalog, DataOps, DevOps, and AI/ML platform architecture is preferred. Experience working in Financial Services, Banking, Insurance, or another highly regulated industry. Relevant certifications in Databricks, Azure/cloud platforms, TOGAF, or related disciplines are advantageous. Strong strategic leadership and commercial awareness, with the ability to connect technology decisions to long-term business value. Comfortable influencing C-suite executives, senior business leaders, technology leadership, and engineering teams.

Provide strategic architectural leadership for Databricks adoption and enterprise-wide data modernization initiatives. Define scalable, secure, and future-ready data and analytics architectures aligned with business, AI, and technology objectives. Establish architectural frameworks, standards, design patterns, governance models, and best practices for Databricks implementation. Guide Data Engineering teams on solution architecture, scalability, performance optimization, security, governance, and implementation decisions. Assess existing SQL Server and Microsoft-centric data environments and define practical migration strategies toward Databricks. Design target-state architectures that support advanced analytics, business intelligence, AI, and machine learning use cases. Evaluate platform utilization, architecture decisions, and technology investments to improve cost efficiency and maximize return on investment. Establish architecture review processes, implementation roadmaps, and governance mechanisms across the transformation program. Provide executive-level recommendations on technology direction, strategic opportunities, risks, dependencies, and investment priorities. Collaborate with business stakeholders, technology leadership, engineering teams, vendors, and other partners to drive successful delivery. Ensure solution designs meet enterprise architecture principles, security requirements, governance standards, and applicable regulatory obligations. Identify technical risks and dependencies early and develop appropriate mitigation strategies. Mentor engineering teams and promote architectural consistency, technical excellence, and adoption of modern data platform practices.