1 Bitwise Jobs Hiring in Ohio

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.

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.