Hiring: Principal Data Architect — Databricks Enablement Company: Caylent Location: United States Job Posted Time: 2026-09-16 16:32:16 Employment Type: Remote Target Skills & Keywords : AI, AWS, CI/CD, Databricks, Embedded Systems, Infrastructure as Code, MLOps, Machine Learning, Matplotlib, NumPy, Pandas, Python, Spark, Systems Integration, Terraform About the job Experience: •4 years of experience in the AWS data landscape •5+ years of deep, hands-on Databricks experience •At least 4 years of experience in the AWS data landscape Required Skills: •Define strategic roadmaps and Databricks adoption plans for clients, including platform guardrails, a self-service maturity model, and a use-case prioritization approach, in a consultative capacity •Operate with a forward-deployed engineer mentality: embed directly with client business and engineering teams to implement their highest-priority use cases hands-on, then progressively shift them toward self-service as platform capability matures •Close the loop between "what clients need" and "what the platform supports" — translate needs surfaced during hands-on use-case delivery into concrete feature requests and guardrail requirements for the platform/foundation team •Act as a data engineering SME in pre-sales and scoping conversations, shaping engagement approach and staffing alongside pre-sales teams •Coach and upskill client architects, engineers, and business-embedded technologists on Databricks best practices, patterns, and self-service tooling •Oversee development of data standards, operating procedures, and semantic/lineage layers that keep a Databricks environment governable as adoption scales across business units •Perform technical interviews for Architect and Engineer candidates; provide technical guidance and mentorship across the practice •Build trusted relationships with client technical and business leadership, balancing platform governance against business teams' desire for speed and autonomy Qualifications: •Relational database design, optimization and migration •Data modeling for both transactional and analytics systems, including implementation of industry-standard data models •Big data processing using Spark, streaming solutions, and NoSQL •GenAI foundational models, along with the approaches and frameworks used with them •DataOps practices •Deep, hands-on Databricks experience — workspace/persona architecture, Unity Catalog, lakehouse design patterns, job orchestration, and Databricks-native governance and AI/ML tooling. •Demonstrated forward-deployed or embedded-delivery experience: comfortable building alongside a client team early in an engagement, then handing off to self-service as maturity increases. •Strong drive toward standardizing and documenting our approach and solutions •Excellent written and verbal communication skills; high tolerance for ambiguity Compensation: •$165,000 - $185,000 / year •Flexible work environment (work from home / hybrid options) •Medical Insurance for you and eligible dependents Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!