RAVL was founded by four partners who believe that the key to building exceptional technology that stands the test of time is to build, train and mentor excellent Technologists for Financial Services clients.
At RAVL, we are disrupting the Technology Services industry by building better technology and technologists.
We specialize in full-stack architecture and development, core systems modernization, Microservices and APIs, DevSecOps & Developer experience, Cloud Platform & tooling, and Site Reliability Engineering.
Build.
Better.

RAVL

data-engineer

RAVL is a technology consulting and engineering firm that bridges business vision and technical execution for organizations in Financial Services. They offer advisory services (strategy, architecture, technology selection, and transformation) and hands-on build services (full‑stack product development, core systems modernization, microservices/APIs, cloud engineering, DevSecOps, and site reliability). Through their BuildX model they deliver outcome-based solutions and upskill client teams by allowing clients to hire a subset of the delivery team for ongoing support and capability transfer.

RAVL was founded by four partners who believe that the key to building exceptional technology that stands the test of time is to build, train and mentor excellent Technologists for Financial Services clients.  At RAVL, we are disrupting the Technology Services industry by building better technology and technologists.  

We specialize in full-stack architecture and development, core systems modernization, Microservices and APIs, DevSecOps & Developer experience, Cloud Platform & tooling, and Site Reliability Engineering. 

Build. Better.

• Design and build robust, scalable ETL/ELT data pipelines using modern frameworks and cloud-native tooling
• Develop data models and architectures that enable efficient analytics and reporting
• Implement data ingestion, transformation, and quality checks across multiple sources and domains
• Leverage cloud services (AWS, Azure, or GCP) to design secure, cost-efficient, and maintainable data systems
• Work closely with platform and software engineers to integrate data flows into broader application ecosystems
• Ensure observability, reliability, and governance across pipelines and data products
• Collaborate with analysts, architects, and stakeholders to translate business requirements into technical data solutions
• At higher levels: mentor peers, contribute to data architecture decisions, and influence standards across teams

Data Engineer

Data Engineer at RAVL designing, building, and operating data pipelines for decision-making. Transforming raw data into reliable assets for analytics and machine learning.

backend-engineer

• Design, build, and maintain full stack applications using Java (Spring Boot or similar) and Angular.
• Develop and integrate RESTful APIs and backend services that are secure, scalable, and observable.
• Implement responsive, maintainable, and accessible frontend interfaces using modern Angular patterns and best practices.
• Contribute to system and component design discussions, translating requirements into clean, modular technical solutions.
• Write well-structured, testable code and actively participate in code reviews to maintain engineering quality.
• Collaborate cross-functionally with product, design, and platform teams to deliver complete features end-to-end.
• Contribute to CI/CD practices, automated testing, and cloud-native deployment workflows.
• Demonstrate ownership of features — identifying risks early, communicating trade-offs, and delivering with accountability.
• Continuously improve team processes and technical standards through feedback and shared learning.

Full-Stack Developer, Java/Angular

Intermediate Full Stack Developer at RAVL, designing scalable applications in Java and Angular. Collaborating with cross-functional teams to deliver secure backend and dynamic frontend solutions.

platform-engineer

• Design, build, and operate secure, scalable cloud platforms across AWS, Azure, and GCP
• Develop and maintain infrastructure-as-code (IaC) using tools like Terraform, CloudFormation, or Pulumi
• Implement CI/CD pipelines, automating builds, testing, and deployments for consistency and speed
• Enable observability and resilience through logging, monitoring, tracing, and alerting solutions
• Collaborate with software, data, and security engineers to define standards and improve developer experience
• Champion automation-first approaches to configuration management, provisioning, and compliance
• Demonstrate ownership of environments - anticipating issues, communicating risks, and resolving problems early
• At higher levels: mentor peers, influence architecture, and set standards for operational excellence and security

Platform Engineer

Platform Engineer designing and delivering platforms and infrastructure at RAVL. Building cloud-native environments that enable velocity, security, and reliability at scale.

• Design and deliver enterprise data platforms, lakehouse architectures, and distributed raw data processing systems using modern cloud-native technologies.
• Architect and implement scalable batch and streaming pipelines, medallion architectures, data mesh patterns, and platform automation frameworks for resilience, governance, and security.
• Standardize and lead adoption of Databricks, Apache Spark, Delta Lake, and similar distributed data processing ecosystems across engagements.
• Define and implement AI-ready data foundations, including feature engineering pipelines, model-ready data layers, and scalable experimentation environments.
• Build horizontal capabilities including ingestion frameworks, metadata and lineage standards, data quality and observability frameworks, secure-by-design platform blueprints, and MLOps enablement patterns.
• Architect and guide implementation of MLOps workflows including model lifecycle management, model deployment strategies, monitoring, and governance.
• Integrate with cloud-native storage, data warehouses, APIs, ML platforms, vector databases, and enterprise systems while managing authentication, authorization, and secure data flows.
• Apply secure coding practices, compliance standards, responsible AI principles, and automation-first approaches across all data and AI platform designs.
• Demonstrate a bias for action: ship reference architectures, reusable modules, AI accelerators, and templates that enable rapid, incremental delivery.
• Mentor engineers, influence stakeholders, define governance standards, and shape technical and strategic direction across BuildIQ.

Principal Data Engineer

Principal Data Engineer at RAVL designing secure and scalable data and AI platforms. Leading architectural guidance and building capabilities across the organization to enhance data operations.

systems-engineer

• Partner directly with client stakeholders to elicit, analyze, and document business and system requirements
• Translate business objectives into detailed functional and non-functional specifications with technical depth
• Act as a bridge between business and engineering—ensuring shared understanding of requirements, constraints, and trade-offs
• Facilitate discovery sessions, technical workshops, and stakeholder interviews to uncover system needs and dependencies
• Create high-quality artifacts including user stories, process flows, data mappings, and acceptance criteria
• Collaborate closely with developers, architects, QA, and product teams to support solution design and delivery
• Contribute to backlog refinement, prioritization, and scope management with a strong understanding of technical implications
• Identify risks, integration challenges, and system gaps early—proactively communicating impacts and mitigation strategies
• Support testing efforts including UAT, validation, and stakeholder walkthroughs to ensure solutions meet business intent
• Continuously improve analysis practices, documentation quality, and delivery efficiency within the team

Senior Business Systems Analyst

Business Systems Analyst at RAVL connecting business needs with technology solutions. Partnering with clients and engineering teams to translate requirements into effective system solutions.

RAVL was founded by four partners who believe that the key to building exceptional technology that stands the test of time is to build, train and mentor excellent Technologists for Financial Services clients. At RAVL, we are disrupting the Technology Services industry by building better technology and technologists. We specialize in full-stack architecture and development, core systems modernization, Microservices and APIs, DevSecOps & Developer experience, Cloud Platform & tooling, and Site Reliability Engineering. Build. Better.

RAVL

About the company

Open jobs

5 jobs found

Data Engineer

RAVL

Full-Stack Developer, Java/Angular

RAVL

Platform Engineer

RAVL

Principal Data Engineer

RAVL

Senior Business Systems Analyst

RAVL