[Hiring] Senior Data Architect @Caylent

Role Description

Architect responsible for designing and hardening enterprise-scale Databricks data platforms within client engagements — building the guardrails, automation, and standards that let a growing number of business teams safely build on the platform without it collapsing into unmanaged "click-ops." Architects maintain primary depth in one core area (Data Platform Development or Data Migration & Modernization) while maintaining architectural awareness across both. Databricks depth is expected regardless of focus area.

Key Responsibilities

• Lead architectural design for Databricks-based data platforms or modernization programs, including workspace consolidation, permissioning/persona models, and configuration-as-code patterns.
• Ensure Databrick platform designs align with AWS leading-practice architecture patterns.
• Design high-volume batch and real-time streaming pipelines leveraging PySpark and Structured Streaming.
• Integrate Databrick Unity catalog with third-party metadata repositories (e.g., AWS Glue Catalog, Snowflake Horizon).
• Implement automation (ConfigOps), CI/CD, and guardrail patterns for safe platform extension.
• Build and maintain certified data products, a semantic layer, and lineage/metadata exposure.
• Ensure technical viability, scalability, and production readiness of platform components.
• Communicate architectural decisions and trade-offs clearly to both technical and business stakeholders.
• Partner with client business and engineering teams to understand upstream use-case needs.

Required Technical Qualifications

• End-to-end modern data platform architecture design (lakehouse, ingestion, processing, access layers).
• Hands-on Databricks experience: workspace/persona architecture, Unity Catalog, lakehouse patterns, job orchestration, and native governance tooling.
• Experience architecting scalable cloud-native systems (AWS).
• Advanced distributed processing and streaming architectures.
• Platform security, networking, and automation.
• Cost estimation and performance optimization.
• Leading multi-database migration and modernization initiatives, including onto Databricks.
• Deep expertise in OLTP/OLAP system design and schema evolution.
• Advanced performance tuning, HA/DR, and security patterns.
• Cloud-native database architecture across managed services.
• Migration strategy, cutover planning, and risk mitigation.
• Architecture documentation and standards enforcement.
• IaC and automation strategy (Terraform).
• FinOps-aligned design, including ability to audit and optimize cloud infrastructure expense.
• Ability to lead and facilitate technical discussions between key business, technology, and knowledge stakeholders.
• Ability to develop Databrick roadmaps and implementation roadmaps.
• Experience in leading, developing, and mentoring delivery teams.

Experience Requirements

• 6+ years in data engineering, database engineering, or architecture roles.
• 3+ years designing cloud-based data solutions.
• 3+ years in the AWS data landscape.
• 3+ years hands-on Databricks experience required.
• High business acumen — comfortable working directly with client business stakeholders.
• Advanced English (minimum C1).

Benefits

• 100% remote work.
• Medical Insurance for you and eligible dependents.
• Generous holidays and flexible PTO.
• Competitive phantom equity.
• Paid for exams and certifications.
• Peer bonus awards.
• State of the art laptop and tools.
• Equipment & Office Stipend.
• Individual professional development plan.
• Annual stipend for Learning and Development.
• Work with an amazing worldwide team and in an incredible corporate culture.
• This role may require up to 25% travel, depending on business needs.