Provides strategic architecture leadership for an enterprise Databricks data modernization program. Defines target-state data and analytics architectures, migration strategies, governance frameworks, security standards, and implementation roadmaps. Guides engineering teams on scalability, performance, cost optimization, integration, and AI/ML enablement while aligning technology investments with business and regulatory requirements. Engages executives, stakeholders, and vendors; oversees solution quality, mitigates technical risks, and mentors teams.
This is a remote position.
We are seeking an experienced Senior Solutions Architect specializing in Databricks to provide strategic leadership and architectural oversight for a large-scale data modernization program within a leading Financial Services organization.
The client is currently transitioning from a traditional SQL Server and Microsoft-centric data ecosystem to a modern Databricks-based platform to support its long-term data, analytics, and AI strategy. While the client has an established and capable Data Engineering team, they require a senior-level architect to provide strategic direction, implementation frameworks, architectural governance, and best-practice guidance to ensure a successful and cost-effective transformation.
- This role will focus on defining the target-state architecture, establishing standards and governance, optimizing platform design, and ensuring alignment between technology investments and business objectives.
- Provide strategic architectural leadership for the organisation's Databricks implementation and data modernization initiatives.
- Design and define enterprise-scale data and analytics architectures aligned to business and AI objectives.
- Develop and implement architectural frameworks, standards, patterns, and best practices for Databricks adoption.
- Guide the Data Engineering team on solution design, scalability, performance optimization, security, and governance.
- Assess current SQL Server and Microsoft-based environments and define migration strategies to Databricks.
- Ensure architecture decisions support future AI, machine learning, advanced analytics, and reporting requirements.
- Evaluate and optimize platform utilization to drive cost efficiency and maximize return on investment.
- Establish governance, architecture review processes, and implementation roadmaps.
- Provide executive-level insights and recommendations on technology direction, risks, opportunities, and investments.
- Collaborate with business stakeholders, technology leadership, engineering teams, and vendors to drive successful outcomes.
- Oversee solution quality and ensure alignment with enterprise architecture principles and regulatory requirements.
- Identify technical risks, dependencies, and potential challenges, implementing mitigation strategies where required.
- Mentor engineering teams and promote architectural excellence across the program
Requirements
Required Technical Skills
Essential
Strategic Leadership
Essential
- Deep expertise in Databricks architecture, implementation, and optimization
- Strong understanding of enterprise data platforms and modern data architectures
- Data Lakehouse architecture design and implementation
- Data governance, security, compliance, and data management frameworks
- Data migration strategy and execution
- Enterprise integration patterns and cloud-based architectures
- Analytics, Business Intelligence, and AI/ML platform enablement
- Experience with Microsoft Azure Data Services
- Azure Data Factory
- Azure Synapse Analytics
- SQL Server
- Delta Lake
- Unity Catalog
- DataOps and DevOps practices
- AI and Machine Learning platform architecture
- 10+ years of experience in Solution Architecture, Enterprise Architecture, or Data Architecture roles.
- Demonstrated experience delivering large-scale data transformation and modernization initiatives.
- Extensive experience designing and implementing Databricks solutions in enterprise environments.
- Proven track record supporting cloud migration and modern data platform programs.
- Experience within Financial Services, Banking, Insurance, or highly regulated environments.
- Strong understanding of data governance, security, compliance, and risk management frameworks.
- Experience developing enterprise architecture standards, frameworks, and governance models.
- Relevant certifications in Databricks, Cloud Platforms (Azure preferred), TOGAF, or related disciplines are highly advantageous.
Strategic Leadership
- Ability to align technology architecture with long-term business strategy.
- Strong commercial acumen and focus on value delivery.
- Ability to influence technology direction at executive level.
- Comfortable engaging with C-suite executives and senior business leaders.
- Strong communication, presentation, and facilitation skills.
- Ability to simplify complex technical concepts for non-technical audiences.
- Excellent architectural design and decision-making capabilities.
- Strong focus on governance, standards, and best practices.
- Ability to drive consistency across multiple teams and initiatives.
- Results-driven with a focus on business impact and measurable outcomes.
- Strong problem-solving and analytical thinking skills.
- Ability to work independently while guiding large technical teams.
The ideal candidate is a highly experienced Senior Solutions Architect with deep Databricks expertise, capable of providing strategic oversight to an established engineering team. They will bring extensive experience in enterprise data transformation, architecture governance, and cloud-based analytics platforms. The successful individual will be comfortable operating at executive level, influencing business and technology strategy, while ensuring Databricks is implemented in a scalable, cost-effective, and future-ready manner that supports the organisation's AI and data ambitions.
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