Senior Solutions Architect (Databricks Specialist)
# Senior Solutions Architect (Databricks Specialist) **Blue Pearl** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Solutions-Architect]` `[Data-Architect]` `[Enterprise-Data-Architect]` `[Databricks-Specialist]` `[Senior-Databricks-Architect]` `[Databricks-Solutions-Architect]` `[Databricks-Solution-Architect]` `[Senior-Cloud-Solutions-Architect]` `[Senior-Technical-Solutions-Architect]` `[Senior-Data-Architect]` `[Big-Data-Solutions-Architect]` --- ### About the Role 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
- Solutions-Architect
- Data-Architect
- Enterprise-Data-Architect
- Databricks-Specialist
- Senior-Databricks-Architect
- Databricks-Solutions-Architect
- Databricks-Solution-Architect
- Senior-Cloud-Solutions-Architect
- Senior-Technical-Solutions-Architect
- Senior-Data-Architect
- Big-Data-Solutions-Architect
Наблюдалась 2026-10-19, впервые 2026-10-19, источник — Himalayas (JSON API).