Onebridge

Architect

• Design and architect end-to-end data platforms using the Databricks Lakehouse architecture.
• Define and implement scalable batch and streaming data pipelines using Apache Spark and Delta Lake.
• Partner with engineering, analytics, and business teams to translate functional requirements into technical designs.
• Establish and enforce data modeling, performance optimization, and cost-management best practices within Databricks.
• Lead cloud-based implementations across AWS, Azure, or GCP, including networking, security, and access controls.
• Provide technical leadership through architecture reviews, code reviews, and design sessions.
• Support production environments by troubleshooting data quality, performance, and reliability issues.

Databricks Architect

Robotics

• Engage directly with business partners to uncover underlying challenges and clarify what users truly need to be successful.
• Analyze and document workflows to visualize how work currently gets done and identify opportunities for improvement.
• Collaborate with Business Analysts to shape well‑rounded requirements that integrate both process insight and user experience considerations.
• Develop clear, concise deliverables, such as process diagrams, user themes, and operational insights, to support decision‑making.
• Evaluate where AI, automation, or agent‑driven capabilities could enhance a process once core needs have been defined.
• Bring structure to loosely defined or evolving problems by facilitating alignment discussions across cross‑functional teams.

RPA Developer

Data Engineer

• Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
• Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications.
• Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.
• Ensure data quality, reliability, and performance across large-scale and complex datasets.
• Collaborate with cross-functional teams to gather data requirements and translate them into effective technical solutions.
• Apply data engineering best practices related to scalability, security, monitoring, and maintainability.
• Support the continuous improvement of data architecture, pipeline performance, and operational stability in a cloud environment.

Senior Data Engineer – Databricks

Frontend Engineer

• Deliver high-impact features in a fast-moving, AI-assisted development environment
• Build, refactor, and deliver production-ready features using TypeScript
• Leverage advanced AI coding tools in daily development workflow
• Work within sprint cycles and meet assigned deadlines
• Collaborate closely with senior engineers to solve complex problems
• Participate in technical discussions and shape best practices for AI-assisted development

Senior TypeScript Engineer

• Build, refactor, and deliver production-ready features using TypeScript
• Leverage advanced AI coding tools as a core part of your daily development workflow
• Apply agentic development workflows to break down problems and generate solutions
• Work within sprint cycles, committing to scoped deliverables
• Collaborate closely with senior engineers and technical leadership
• Review and improve existing code while maintaining performance, readability, and scalability
• Participate in technical discussions and help shape best practices for AI-assisted development.

Senior TypeScript Developer

Solutions Engineer

• Architect and guide implementation of Databricks‑based data platforms, leveraging Lakehouse and Medallion architecture best practices.
• Provide hands‑on technical leadership across data engineering, analytics, and AI‑enabled use cases using Databricks.
• Define and enforce data governance, security, and access control standards using Databricks Unity Catalog and enterprise data management principles.
• Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem.
• Optimize platform performance, scalability, and cost efficiency with a FinOps‑oriented mindset.
• Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs.
• Serve as a resident technical authority, providing architectural guidance, mentoring teams, and ensuring solution quality and consistency.

Databricks Architect

RPA Developer

Senior Data Engineer – Databricks

Senior TypeScript Engineer

Senior TypeScript Developer

Resident Solution Architect, Databricks