[Hiring] Databricks Architect @CAI

Role 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

Qualifications

• 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

Requirements

• 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 [email protected] or (888) 824 – 8111.