Job description
Category: IT Services
Location:
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.
Key Responsibilities
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
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
Preferred
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
Essential Experience & Qualifications
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.
Key Competencies
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.
Stakeholder Engagement
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.
Architecture & Governance
Excellent architectural design and decision-making capabilities.
Strong focus on governance, standards, and best practices.
Ability to drive consistency across multiple teams and initiatives.
Delivery & Outcomes
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.
Ideal Candidate Profile
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.
DetailsOriginally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.