Jobs at Caylent

Design and harden enterprise Databricks lakehouse platforms: workspace and permission architecture, ingestion and streaming pipelines, Unity Catalog integration, CI/CD and automation (Terraform/ConfigOps), governance, cost and performance optimization, documentation, and mentoring delivery teams to enable safe self-service and production readiness.

Design and harden enterprise-scale Databricks lakehouse platforms on AWS. Lead workspace consolidation, governance, CI/CD/ConfigOps, streaming/batch pipeline design with PySpark, Unity Catalog integration, performance and cost optimization, documentation, and mentor delivery teams to enable governed self-service.

Design and harden enterprise-scale Databricks data platforms: workspace/persona models, Unity Catalog integration, batch and real-time PySpark pipelines, CI/CD and Terraform automation, governance guardrails, cost and performance optimization, migration planning, and stakeholder-facing architectural documentation and roadmaps. Mentor delivery teams and ensure production readiness and scalability.

Design and lead enterprise-scale data platform and migration architectures (lakehouse, ingestion, processing, streaming). Ensure scalability, security, automation (IaC), FinOps alignment, migration strategy, performance optimization, and production readiness. Produce architecture documentation, roadmaps, and technical guidance.

Design and lead enterprise-scale data platform and migration architectures, ensure scalability, security, performance and production readiness; produce documentation, roadmaps, and enforce standards while aligning IaC, automation, and FinOps.

Design and lead enterprise-scale data platform and migration architectures, ensuring scalability, security, performance, and production readiness. Produce documentation, roadmaps, and technical trade-offs; implement IaC and FinOps-aligned designs; guide cloud-native, distributed processing and streaming solutions and migration strategies across multi-database environments.

Lead enterprise Databricks platform engagements: define adoption roadmaps and guardrails, deliver hands-on use cases, coach clients toward self-service, translate requirements to platform teams, act as pre-sales SME, and develop data standards, semantic layers, and governance.

Lead Databricks platform enablement for enterprise clients: define adoption roadmaps and guardrails, implement priority use cases hands-on, coach client teams toward self-service, translate delivery needs into platform requirements, and mentor architects and engineers.

Lead Databricks enablement engagements: define adoption roadmaps and guardrails, embed with client teams to build production pipelines, coach toward self-service, translate use-case needs into platform requirements, and mentor architects and engineers.

Design and build AI-first, production-ready cloud-native applications on AWS using Python. Collaborate with architects, PMs, and clients to gather requirements, follow solution designs, implement AI-driven testing, and deliver client-facing solutions.

Design and build AI-first, cloud-native applications on AWS; collaborate with architects and project teams to deliver production-ready client solutions; participate in discovery, technical decision-making, and implement AI-driven testing, CI/CD, and infrastructure-as-code.

Build AI-first, production-ready cloud-native applications on AWS. Collaborate with architects, PMs, and sales to gather requirements, deliver client solutions, and implement AI-driven testing, CI/CD, and IaC. Participate in discovery, technical decision-making, and client-facing engagements.

As a Principal Strategist, you will guide financial services clients in their cloud transformation journeys by developing actionable plans, enhancing adaptability, and driving growth of strategic accounts.

The AI/ML Engineering Manager leads a team of ML engineers and architects, managing hiring, performance, and customer engagements while providing technical guidance in ML operations and architecture.

The AI/ML Engineering Manager will lead a team of ML engineers, manage client engagements, shape architecture, and drive pre-sales while ensuring team growth and performance.

The Engineering Manager will lead a team of cloud engineers and architects, manage technical tasks, ensure timely project delivery, and foster team growth while engaging with customers.

Lead a team of ML engineers, manage performance and growth, shape architecture for customer engagements, and advise on ML operations with a hands-on delivery approach.

Manage a team of cloud engineers and architects to deliver technical solutions and ensure project alignment with business goals while mentoring team members and guiding client engagements.

The Principal Cloud Architect will guide cloud solution architecture, collaborate with teams on customer engagements, and lead technical advisory efforts while mentoring and supporting pre-sales.

The Principal Strategist will drive customer success in cloud transformations, creating actionable strategies, guiding clients, and fostering growth within financial services accounts.