Databricks Resident Data Architect

Description We are seeking an experienced Resident Data Architect with deep expertise in the Databricks Lakehouse Platform to lead architecture, delivery, and adoption initiatives for enterprise data and analytics programs. This role will serve as the trusted advisor to the customer, ensuring successful implementation, optimization, and governance of modern data platforms while driving business value through scalable data solutions. Key Responsibilities Act as the on-site or dedicated Databricks Resident Architect supporting strategic customer initiatives. Lead architecture, design, and delivery of enterprise-scale data platforms leveraging Databricks. Partner with business stakeholders, technical teams, and leadership to define data strategies and roadmaps. Design and implement scalable data lakehouse architectures. Drive data modernization, migration, and cloud transformation initiatives. Establish best practices for data engineering, governance, security, and performance optimization. Guide development teams on data modeling, ETL/ELT, and modern analytics architectures. Ensure successful project delivery, risk management, and stakeholder communication. Provide technical leadership and mentorship to customer and partner teams. Support adoption of AI/ML, real-time analytics, and advanced data capabilities within Databricks. Collaborate with executive leadership to align technical solutions with business objectives. Required Qualifications 7+ years of experience in data engineering, analytics, and modern data platforms, with 10+ years in consulting and client-facing engagements. Databricks Certified Data Engineer Professional certification (or equivalent advanced certification) required. Proven track record delivering 6–8+ Databricks implementations with hands-on development experience. Strong expertise in at least one major cloud platform (AWS, Azure, or GCP) and working knowledge of multiple cloud ecosystems. Deep experience with Apache Spark, including distributed computing concepts and Spark runtime internals. Experience implementing and supporting CI/CD pipelines for production deployments. Solid understanding of MLOps principles, tools, and best practices. Current knowledge of the Databricks platform, products, and evolving feature set. Demonstrated ability to optimize performance, scalability, and reliability across data workloads and architectures. Strong communication and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions. Preferred Qualifications Databricks Certified Data Engineer, Architect, or related certifications. Experience with AI/ML implementation and MLOps. Knowledge of Unity Catalog, Data Governance, and Data Quality frameworks. Experience with Power BI, Tableau, or other data visualization platforms. Previous experience in professional services, consulting, or managed service delivery organizations. Key Skills Databricks Data Architecture Data Engineering Service Delivery Cloud Architecture (Azure/AWS/GCP) Apache Spark Delta Lake Data Governance Data Integration Lakehouse Architecture Stakeholder Management Digital Transformation Technical Leadership Enterprise Consulting Success Profile The ideal candidate combines hands-on Databricks architecture expertise with strong service delivery and customer-facing consulting skills, acting as both a trusted advisor and technical leader to drive successful enterprise data modernization initiatives. Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit: www.matrix-ifs.com EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages. Originally posted on Himalayas