Principal Architect

Planful, Inc.; United States; On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Volunteer days

Maternity/Paternity leave

Wellness days

Talkspace mental health support

Annual company gatherings

Job summary

Planful, Inc. is seeking a Principal Architect to design and implement a high-performance OLAP query engine and semantic layer for a next‑gen financial planning platform.

You will develop a custom JSON-based query language, translate requests to optimized SQL, and drive caching, JVM tuning, and AI-assisted development across distributed microservices. This role demands deep expertise in compilers, data modeling, and scalable architectures.

Qualifications

• Extensive backend systems & distributed infra experience.
• Deep knowledge of compilers, ASTs, eBNF, and query planning.
• Proficiency in Java with multi-threading, async I/O, networking & memory management.
• Experience designing distributed caching layers & microservices.

Responsibilities

• Architect and implement a high-performance OLAP query engine and semantic layer.
• Design JSON-based DSL and translation layer to optimized SQL.
• Lead caching/scale efforts and optimize concurrency in microservices.

Skills

Backend systems

Compilers

Query planning

Java performance

Distributed caching

Multi-threading

AI tooling

Tools

Micronaut

Spring Boot

ClickHouse

SingleStore

DuckDB

Job description

About the Role

As a Principal Architect, 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 datainfrastructure
• Strong theoretical and practical knowledge of compilers, ASTs, eBNF, and queryplanning
• 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 stateacross 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 developmentproductivity
• 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.

Why Planful

To foster the best in class work we’re so proud of, we’ve created a best in class culture, including:

• 2 Volunteer days per year, Birthday PTO, and quarterly company Wellness Days
• 3 months supply of diapers and meal deliveries for the first month of your Maternity/Paternity leave and generous parental leave
• Talkspace access and mental health support
• Annual company-wide gatherings held in cities like San Diego, Denver, Palm Springs, and Vegas!
• Office hubs in San Francisco, Toronto, and London. We also offer benefits such as home office setup, and monthly wifi and cell phone reimbursements for all employees, in-office or remote.
• Employee Resource Groups such as Women of Planful, Parents of Planful, and many more. We encourage our teammates to bring their authentic selves to the team, and have full support in creating new ERGs & communities along the way