Solution Architect

Key Responsibilities

• Design the hybrid architecture connecting legacy job schedulers and modern cloud orchestration platforms, including dependency sequencing across both environments.
• Define and own the cross-platform SLA framework and the single escalation path for orchestration issues.
• Lead technical engagement with client engineering leadership, translating business requirements into an architecture roadmap.
• Direct the engineering team on bidirectional job triggering, failure propagation, and real-time dependency-status exchange between legacy and cloud workloads.
• Own delivery through dependency mapping, co-design, build and test, and stabilization phases.

Required Qualifications

• 10+ years in data engineering or platform architecture, including at least 3 years designing hybrid or multi-platform orchestration solutions.
• Hands-on experience with cloud data platform workflow engines (for example, Databricks Workflows, Google Cloud Composer, or Apache Airflow).
• Experience integrating legacy enterprise job schedulers (for example, IBM Tivoli Workload Scheduler, Control-M, or AutoSys) with modern cloud orchestration tools.
• Working knowledge of open table formats (Delta Lake, Iceberg), Databricks Lakebase, Azure Service Bus, REST and Pub/Sub-based integration patterns.
• Proven experience with event-driven architectures (pub/sub, streaming patterns) to enable high-throughput, loosely coupled message exchange.
• Experience leading API-led connectivity strategies and delivering RESTful and event-driven APIs (OpenAPI, webhooks) to expose reusable business capabilities and support real-time, asynchronous system integration.
• Experience defining and implementing Infrastructure-as-Code (IaC) and CI/CD strategies using Terraform and Git-based pipelines to standardize and automate deployments.
• Ability to define KPIs, metrics, and SLAs, and translate them into actionable dashboard views for technical and business stakeholders.
• Experience designing centralized, single-pane-of-glass dashboards that consolidate visibility across multiple, independently running systems.
• Demonstrated experience owning SLAs and escalation processes for production data pipelines.
• Strong client-facing communication skills; comfortable presenting architecture decisions to senior technical stakeholders.
• Experience leveraging agentic coding platforms (for example, GitHub Copilot or Claude Code) effectively.

Preferred Qualifications

• Prior experience on large-scale ETL modernization or cloud migration programs.