Are you an engineering leader who cares deeply about how data is defined, governed, and made accessible at platform scale? Do you know how to hire and develop engineers with deep data systems expertise, engage credibly in architecture conversations, and create the conditions for your team to do their best work? Do you thrive on building organizations whose output becomes the foundation every product team depends on? If so, we'd love to talk.
As a Senior Engineering Manager at Ridgeline, you will lead the team responsible for Ridgeline's data access and semantics layer — the infrastructure that defines what data means, governs how it's written, and standardizes how it's read across the platform. This is high-leverage work: the contracts and access patterns your team establishes become the defaults every product team builds on. Your team's customers are product engineers writing application code — your output is the SDK and framework layer they depend on.
You will lead a team of engineers, supporting their growth and success while partnering with engineering staff and leadership across the organization, to drive data contract adoption, evolve the query interface into the universal data access layer, and build toward a federated query capability that spans the full persistence layer.
At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions — not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture.
If this excites you, we'd love to meet you.
You must be work authorized in the United States without the need for employer sponsorship.
The impact you will have
Lead the team defining and evolving Ridgeline's Semantic Layer — setting the direction for data contract adoption across product engineering so that schema validation and enforcement become standard practice from the ground up
Drive your team's roadmap toward a universal query interface — reducing direct-to-persistence-store patterns in product code and establishing store access adapters as the platform standard
Partner with Staff+ engineers to shape the write path architecture, guiding replication and indexing pipelines toward a declarative, independently authored model running on shared compute infrastructure
Ensure the data governance layer is reliable and well-owned — schema validation and audit lineage treated as first-class infrastructure, not an afterthought
Champion the long-term investment in query federation — building organizational and technical readiness for cross-store analytics without coupling product engineering to persistence infrastructure
Hire, develop, and retain top engineering talent — cultivating a culture of data correctness, technical thoroughness, and platform ownership
Collaborate with product and engineering leadership to align data platform investments with company objectives
Manage the inter-team interface with infrastructure partners — your team authors what flows through the persistence and event infrastructure; you own the contracts and access patterns that make that work reliable
What we look for
10+ years of software engineering experience with at least 5+ years managing engineering teams
Technical grounding in data systems — schema design, metadata infrastructure, query planning and execution, and data access patterns; you have hands-on JVM development experience (Kotlin or Java) and can engage credibly in architecture discussions, recognize tradeoffs in schema evolution and query interface design, and ask the questions that surface the tradeoffs others might skip past
Experience building or managing data access abstractions — store access adapters, query federation engines, or platform-level query interfaces that standardize how services read data
Experience building or contributing to JVM-based internal SDKs or developer frameworks in Kotlin or Java — enough to guide architecture decisions, review technical approaches, and recognize when a framework abstraction is the right call versus a premature one
A track record of treating developer experience as a first-class concern — adoption metrics, ease of onboarding, and internal documentation matter as much as correctness
Familiarity with data contract and schema enforcement patterns — how contracts are defined, versioned, and enforced at the framework level so product engineers consume them correctly by default; experience with schema registry or metadata tooling is a plus
Experience managing data write path infrastructure — write-path SDKs, replication pipelines, or data materialization services; what matters is understanding how data moves from application write to downstream store and what guarantees the write path must provide to downstream consumers
Demonstrated ability to guide cross-team initiatives and influence without direct authority
Experience operating high-availability systems with strict reliability and performance requirements
Excellent communication skills and a passion for mentoring engineers and technical leaders
Willingness to deepen expertise in the investment management domain and apply cutting-edge tools — including AI tools like GitHub Copilot — to accelerate development velocity and architectural clarity
Strong problem-solving skills and a genuine interest in having fun at work