Senior Solutions Architect

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.