Planful Logo

Planful

Principal Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
325K-375K Annually
Expert/Leader
Remote
Hiring Remotely in USA
325K-375K Annually
Expert/Leader
Lead architecture and implementation of a high-performance OLAP query engine and semantic layer: design a JSON-based DSL and compiler, generate optimized SQL for columnar databases, build distributed caching, tune JVM and low-level performance, and provide technical leadership and documentation.
The summary above was generated by AI
About the Role

As a Principal Engineer, you will be responsible for the architectural design and end-to-end implementation of a high-performance OLAP query engine and semantic layer. The primary goal is to develop a custom JSON-based query language (DSL) and a translation engine that converts these requests into optimized SQL for columnar databases. This role requires a deep understanding of systems programming, compiler theory, and multi-dimensional data modeling to serve high-concurrency read loads in a microservices environment.

What You'll Do

  • Architectural Design & Query Execution
    • Compiler & DSL development: Design a custom JSON-based OLAP query language. Define eBNF grammars and build a translation layer to convert functional formulas and DSL requests into an optimized execution plan.
    • SQL generation & optimization: Implement and oversee the generation of highly optimized SQL tailored for columnar databases including ClickHouse, SingleStore, and DuckDB.
    • Semantic layer management: Architect the representation of multi-dimensional data models within columnar structures, ensuring efficient data retrieval and aggregation.
    • Custom function logic: Implement logic for custom functions, determining the optimal balance between SQL push-down and application-layer execution
  • Caching & Performance Engineering
    • Multi-dimensional caching: Envisage and implement a distributed caching strategy for multidimensional data, utilizing shared memory systems like Redis.
    • Concurrency & scaling: Build and maintain high-performance microservices using Java (Micronaut or Spring Boot) with Project Loom (Virtual Threads) to handle massive concurrent read loads.
    • Low-level optimization: Manage system-level performance including connection pooling, array pooling, and off-heap memory management.
    • JVM tuning: Apply expert knowledge of Java Garbage Collectors (including ZGC and Shenandoah) to maintain low-latency response times.
  • Engineering Excellence & AI Integration
    • AI-augmented development: Leverage AI coding agents and tools to accelerate the software development lifecycle, from prototyping to debugging.
    • Technical documentation: Maintain a disciplined approach to software development by documenting architectural decisions, design patterns, and technical specifications.
    • Technical leadership: Act as the primary technical authority on query engine internals, providing guidance on complex systems-level challenges.
What We're Looking For
  • 15+ years in software engineering with a focus on backend systems and data infrastructure
  • Strong theoretical and practical knowledge of compilers, ASTs, eBNF, and query planning
  • In-depth understanding of SQL, query optimization, and the internal workings of columnar databases
  • Expert proficiency in Java, specifically regarding multi-threading, asynchronous I/O, networking, and memory management
  • Proven experience in designing distributed caching layers and managing state across microservices
  • Ability to decompose complex data problems into scalable architectural components
  • Clear verbal and written communication skills, with a strong tendency to document thoughts and architectural ideas
  • A rigorous approach to software craftsmanship, including testing, telemetry, and performance benchmarking
  • Minimum of 1 year of experience using AI coding agents to enhance development productivity
  • Prior experience developing financial systems such as ERP, EPM, or General Ledger platforms is an added plus
Why this Role

You will own the internals of the query engine at the heart of a next-generation financial planning platform — the layer where compiler theory, columnar database performance, and multi-dimensional semantics converge.


Pay Transparency Statement

At Planful our top priority is to support our employees and ensure each individual has access to equal growth opportunities. Pay decisions take into consideration the individual's skillset, experience, knowledge, qualifications for the role, and specific work location. 

The OTE range for this role is $325,000 - $375,000 USD per year, depending on experience and location. As a part of this role, you are also eligible for equity, benefits and wellbeing resources.

Similar Jobs

3 Hours Ago
In-Office or Remote
174K-274K Annually
Senior level
174K-274K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead design and delivery of scalable ML/AI infrastructure and lifecycle tooling. Collaborate with product teams to enable dataset curation, model training, serving, monitoring, and deployment. Drive architecture, mentor engineers, contribute code reviews, and partner across teams to launch ML capabilities used across Atlassian products.
Top Skills: AWSAzureCi/CdDaskGCPGoGpusJavaJaxLlmsMlopsPythonPyTorchRagRayScalaSparkTensorFlow
9 Days Ago
Remote
Michigan, USA
170K-366K Annually
Expert/Leader
170K-366K Annually
Expert/Leader
Fintech • Financial Services
Lead design and governance of Servicing Digital's graph and API abstraction layer during a System of Record modernization. Define API/Graph architecture, schema design, federation patterns, versioning, and standards; build platform tooling and developer experience; integrate AI-assisted tooling; mentor engineers; represent API strategy in architecture and executive forums; support on-call reliability.
Top Skills: AWSEvent-Driven IntegrationGraphQLRestSchema FederationTypescript
11 Days Ago
Remote or Hybrid
United States
150K-237K Annually
Expert/Leader
150K-237K Annually
Expert/Leader
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.
Top Skills: Artificial IntelligenceCloud ComputingCybersecurityDigital TwinsEdge ComputingEmcFunctional SafetyInternet Of Things (Iot)MS OfficePlcsRed

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account