🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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 contemporary data platforms while driving business value through scalable data solutions. Key Responsibilities Act as the in office 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 contemporary 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 68+ 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 .