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About OVG
At OVG we help Finance organizations create value with our unique Agentic Performance Management (APM) approach.
We are in the early innings of the AI revolution. Our goal is to equip our clients to thrive in the new paradigm with AI-native processes, systems, and skillsets for performance management.
We are taking a different approach from most consultancies and software providers. Our APM solutions are not built on specialized CPM software - they’re intended to disrupt CPM software.
Built on open and interoperable Microsoft platforms – Fabric, Power Platform, M365, and Foundry – our APM solutions are more scalable, accessible, flexible, cost-effective, and cross-functional than CPM alternatives.
Our goal is to provide our clients with the best possible solutions, and we have already proven that our APM approach is both viable and effective with the majority of our client base.
About Our Team
Our team is purpose-built for this new world where AI radically changes the way organizations operate, consolidating roles and responsibilities. We are a team of 15+ pursuing steady, organic growth.
We work to instill a combination of business acumen, domain knowledge, and hands-on technical skills that create a force-multiplying effect that is transferable and as future-proof as possible.
We leverage this ‘dual-threat’ framework to deliver superior results and set our clients up for long-term success. As part of our team, you’ll be on the leading edge of practical AI adoption for Finance teams, their business partners, and leaders.
About the Role
In the Data Engineering Sr. Associate role, you will be the hands-on engineer behind our APM solutions. You will build and run the data platforms our Finance solutions sit on, from source systems through to reporting, and keep them healthy after go-live. You’ll also support agent builds alongside our Forward Deployed Engineering team as projects need it.
You will work alongside a Senior Manager on our delivery team, and our APM training program gets you up to speed. You don’t need prior experience with Microsoft Fabric or Finance data; we will teach you both. You’ll typically support 3-4 client engagements at a time, working with our consultants, who own the business logic and client relationship. Our clients range from Series B/C startups to Fortune 500 enterprises.
Day-to-day activities include the following:
Data Engineering Delivery
Ingesting data from ERPs, operational systems, and Excel-based inputs into Microsoft Fabric
Building lakehouse and warehouse layers with SQL and Python, with validation built in so bad data never reaches reporting
DevOps and Operations
Managing source control and deployments across client environments
Setting up environments, security, and access with client IT teams
Monitoring production pipelines and supporting incident response
Supporting backup and disaster recovery for client solutions
Project Execution
Technical discovery and effort estimates
Documentation and runbooks written as part of the build
Internal Contributions
Contributing reusable code and best practices to our internal knowledge base
Building with agentic coding tools as part of daily engineering work
This is a full-time contract engagement, fully remote, structured directly or through a partner of record. Open to candidates in Latin America with at least four hours of daily overlap with US business hours. Travel is expected to be no more than 20%.