Data Architect (Databricks Scalability)
Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A global technology company headquartered in the United States, specializing in personal computing, printing solutions, and related services. It focuses on secure, sustainable, and high-performance solutions that enable productivity and support digital transformation across industries. What You’ll Do Assess the current Databricks environment, including workspace design, compute usage, workloads, dependencies, and data processing patterns. Document current-state and target-state architecture to improve scalability, resilience, and operational efficiency. Identify performance bottlenecks, scalability constraints, cost inefficiencies, and architectural gaps across pipelines, clusters, storage, and consumption layers. Define scalable platform patterns for ingestion, transformation, orchestration, and data serving aligned with enterprise standards. Establish recommendations for workload optimization, autoscaling, compute governance, and performance tuning to support increasing data volumes and concurrency. Design and enable AI-ready Databricks capabilities, including reusable patterns for GenAI, retrieval, vector search, model serving, and enterprise knowledge workflows. Define integration and deployment approaches that improve reliability, maintainability, and release consistency across environments. Work with architecture, engineering, data, security, and operations stakeholders to translate business and platform needs into practical technical decisions. Contribute to implementation planning, technical governance, and execution sequencing for Databricks scalability initiatives. Produce clear architecture documentation, engineering guidance, and dependency views to support execution teams and long-term platform sustainability. What You Bring Strong experience in Databricks architecture, data engineering, or platform engineering roles. Hands-on expertise in Apache Spark, Delta Lake, cluster tuning, workload optimization, and scalable lakehouse design. Proven ability to design and optimize high-scale data platforms with a focus on performance, reliability, cost efficiency, and operational excellence. Experience enabling AI/ML and Generative AI solutions on Databricks, including AI-ready data foundations and production deployment patterns. Working knowledge of governance and secure platform design, including workspace strategy, access controls, and enterprise data management practices. Ability to work across technical and business teams and communicate clearly. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.