Blue Pearl
Senior Solutions Architect (Databricks Specialist)
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. Details Originally posted on Himalayas
