Senior Solutions Architect (Databricks Specialist)
J
JobgetherFinancial Services
100% remote position, allowing you to work from Poland.ContractSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- AzureDevOpsDatabricks
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.
- Experience enabling analytics, business intelligence, AI, and machine learning platforms through enterprise data architecture.
- Strong knowledge of enterprise integration patterns and modern cloud architectures.
- Experience working in Financial Services, Banking, Insurance, or another highly regulated industry.
- Excellent communication, presentation, and facilitation skills, with the ability to translate complex technical concepts into clear business language.
Responsibilities
- 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.
- Ensure solution designs meet enterprise architecture principles, security requirements, governance standards, and applicable regulatory obligations.
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