About this role
Databricks Architect Req number: R8699 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary We are looking for a motivated Databricks Architect ready to take us to the next level! If you have lead the design, implementation, governance, and optimization of enterprise-scale data and AI platforms on Databricks and are looking for your next career move, apply now. Job Description We are looking for a Databricks Architect to lead the design, implementation, governance, and optimization of enterprise-scale data and AI platforms on Databricks. This position will be full-time and remote. What You'll Do
• Define and own the enterprise Databricks architecture strategy, ensuring scalability, security, reliability, and alignment with business and AI objectives • Design modern data platforms leveraging Databricks Lakehouse, Delta Lake, Unity Catalog, and AWS services • Lead the architecture and modernization of data warehouses, data lakes, and analytical platforms into scalable Lakehouse architectures • Establish enterprise standards, frameworks, and best practices for data ingestion, transformation, orchestration, governance, and consumption • Design and implement secure, high-performance batch and real-time data processing solutions • Develop reference architectures for data engineering, advanced analytics, machine learning, and generative AI workloads • Define data governance, lineage, metadata management, security, and compliance standards across the data platform • Architect scalable and reusable data models that support reporting, analytics, operational intelligence, and AI use cases • Guide implementation teams on platform setup, workspace design, networking, access controls, monitoring, and operational readiness • Drive platform optimization initiatives related to compute utilization, workload management, storage performance, and cost efficiency • Lead architectural reviews and provide oversight for critical data and AI initiatives • Collaborate with business stakeholders, product owners, data engineers, ML engineers, and cloud teams to translate requirements into technical solutions • Establish observability frameworks for monitoring platform health, performance, data quality, and usage patterns • Evaluate emerging Databricks capabilities and recommend adoption strategies that enhance business value • Develop migration strategies and execution roadmaps for legacy data platforms transitioning to Databricks • Define disaster recovery, business continuity, backup, and resilience requirements for enterprise data platforms • Drive architecture governance through design reviews, standards enforcement, and continuous improvement initiatives • Mentor engineering teams and provide technical leadership on complex architecture decisions • Deliver executive-level architecture documentation, roadmaps, solution blueprints, and technology recommendations • Hands-on experience with both AWS and Azure cloud platforms, including architecture design, security, networking, storage, governance, and data services • Strong understanding of multi-cloud data platform strategies and the ability to architect solutions across AWS and Azure environments • Experience integrating Databricks with AWS and Azure native services to support enterprise analytics, data engineering, and AI use cases What You'll Need Required:
• Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Data Science, or a related field • 10+ years of experience in data engineering, data architecture, cloud architecture, or enterprise technology leadership roles • 5+ years of hands-on experience with Databricks and modern cloud-based data platforms • Extensive experience designing and implementing enterprise-scale data lake, data warehouse, and Lakehouse architectures • Strong expertise in Databricks, Delta Lake, Unity Catalog, Workflows, and Databricks SQL • Hands-on experience with AWS services such as S3, IAM, Glue, Lambda, EC2, RDS, Redshift, CloudWatch, and networking services • Experience designing data pipelines using Spark, PySpark, SQL, and modern orchestration frameworks • Deep understanding of data governance, security, metadata management, cataloging, lineage, and compliance requirements • Experience with CI/CD, Infrastructure as Code, DevOps, and platform automation practices • Strong knowledge of analytics, machine learning, and AI data platform requirements • Experience establishing enterprise architecture standards, patterns, and best practices • Proven ability to design highly available, scalable, and cost-efficient cloud architectures • Strong stakeholder management skills with experience engaging executive leadership, business stakeholders, and technical teams • Ability to evaluate trade-offs and make architecture decisions in complex and ambiguous environments • Strong communication and presentation skills with the ability to influence technical and non-technical audiences • Proven leadership experience driving large-scale transformation and modernization initiatives Preferred :
• Knowledge of Databricks Genie, AI/BI capabilities, and natural language-driven analytics solutions • Databricks Certified Data Engineer Professional certification • Databricks Certified Machine Learning Professional certification • Databricks Certified Platform Architect certification • AWS Solutions Architect Associate certification Physical Demands
• Ability to safely and successfully perform the essential job functions • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.