Databricks Solution Architect-Databricks Champion

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect-Databricks Champion based in United Arab Emirates. This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation initiatives for leading organizations. You will design and implement modern lakehouse architectures while solving complex data engineering and analytics challenges. The role combines deep hands-on expertise with strategic architecture and direct client engagement. You’ll work across Databricks, Azure, and GCP to build scalable, governed, and production-ready data platforms. The position offers exposure to sophisticated enterprise environments and high-impact transformation programs. You’ll collaborate with technical and business stakeholders to translate requirements into practical, future-ready solutions. This is an ideal role for a Databricks specialist who enjoys architecture, delivery, and helping clients unlock the value of modern data platforms. Accountabilities • Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives. • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL. • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases. • Establish effective data governance and security practices using capabilities such as Unity Catalog. • Partner directly with enterprise clients to understand business and technical requirements and translate them into robust architectural solutions. • Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring solutions are scalable, reliable, and maintainable. • Support infrastructure automation and deployment practices through Terraform and CI/CD pipelines. • Apply strong knowledge of Databricks best practices and delivery methodologies to accelerate successful client outcomes. • Contribute to solution design, technical documentation, implementation planning, and architectural decision-making across projects. Requirements • 3–8 years of relevant professional experience in data engineering, cloud architecture, analytics consulting, or a closely related technology discipline. • Strong hands-on expertise with Databricks, Azure, and GCP, with demonstrated ability to design and implement enterprise data platforms. • Databricks Champion status or equivalent demonstrated Databricks expertise is mandatory. • Experience with enterprise data architecture, lakehouse architecture, and large-scale implementation projects. • Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance, and modern data platform practices. • Strong client-facing and communication skills, with the ability to explain complex technical concepts to both technical and business stakeholders. • Exposure to Terraform, infrastructure-as-code, CI/CD, and automated deployment practices. • Experience with the Databricks Professional Services Delivery Provider Program (DPP) is preferred. • Strong analytical and problem-solving capabilities, with the ability to work independently and manage complex technical challenges. • A collaborative, consultative mindset and the ability to operate effectively in fast-paced enterprise environments. • Candidates with a notice period of 30 days or less are preferred, with immediate availability considered an advantage. Benefits • Fully remote position: Work remotely while contributing to enterprise data, cloud, and AI transformation projects. • High-impact consulting environment: Gain exposure to complex technology initiatives and enterprise-scale client challenges. • Modern technology stack: Work extensively with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, Terraform, and CI/CD technologies. • Architecture ownership: Take a leading role in designing scalable lakehouse and data platform solutions. • Client-facing exposure: Partner directly with enterprise stakeholders and influence strategic technology decisions. • Professional growth: Expand your expertise across modern data, cloud, analytics, and AI transformation. • Fast-growing environment: Join a consulting organization operating across a rapidly evolving technology landscape. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more Show less

3–8 years of relevant professional experience in data engineering, cloud architecture, analytics consulting, or a closely related technology discipline. Demonstrated Databricks expertise is mandatory (Databricks Champion or equivalent). Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance, and modern data platform practices. Experience with enterprise data architecture and large-scale implementation projects. Experience with Azure and GCP. Strong client-facing and communication skills. Familiarity with Terraform, infrastructure-as-code, CI/CD, and automated deployment practices. Candidates with immediate availability preferred.

Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives. Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL. Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases. Establish effective data governance and security practices using Unity Catalog. Partner directly with enterprise clients to understand business and technical requirements and translate them into robust architectural solutions. Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring solutions are scalable, reliable, and maintainable. Support infrastructure automation and deployment practices through Terraform and CI/CD pipelines. Apply strong knowledge of Databricks best practices and delivery methodologies to accelerate successful client outcomes. Contribute to solution design, technical documentation, implementation planning, and architectural decision-making across projects.