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Data Visualization Engineer

Hire a senior engineer to build interactive dashboards, map-based applications, and scalable data visualization products for your team.

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Overview

Who is Tom Smykowski?

Tom Smykowski is a senior data visualization engineer with nearly two decades of experience in product delivery, combining deep engineering skills with UX and product thinking. He is the ideal hire for founders, CTOs, and executives looking for an engineer who can take full ownership from discovery through production, specializing in building complex, user-focused data visualization systems. Based in Poland, Tom works remotely with teams across the EU, UK, and US, fitting seamlessly into international workflows.

His career is defined by a track record of translating complex data into clear, actionable, and beautiful visual interfaces. From industrial ERP systems and marketing automation platforms to large-scale SaaS products, Tom has consistently delivered visualization solutions that drive user engagement and business insight. He is not just an implementer, but a strategic partner who understands how data visualization serves broader product goals and user needs.

Tom's approach is holistic. He considers the entire data pipeline, from API design and data modeling to the final pixel-perfect interactive chart or map. This full-stack perspective ensures that visualizations are not only visually compelling but also performant, scalable, and maintainable. Hiring Tom means gaining a staff or senior-level engineer who can architect systems, lead projects, and mentor teams while writing high-quality code.

Expertise in Interactive Dashboards and Analytics

Building effective dashboards requires more than just charting libraries. It demands an understanding of information architecture, user workflows, and performance at scale. Tom has extensive experience creating dashboards that serve diverse user bases, from internal business analysts to external SaaS customers. For instance, at Websoul, the marketing automation SaaS he founded, he architected dashboards used by over 32,000 businesses, leveraging technologies like AG Grid for complex data tables and custom Vue.js components for real-time metrics.

His work often involves integrating multiple data sources into a coherent visual narrative. Whether it's sales data, operational metrics, or user behavior analytics, Tom designs systems that make data exploration intuitive. He focuses on creating dashboards that answer key business questions quickly, reducing time-to-insight for decision-makers. This involves careful selection of visualization types, thoughtful layout design, and implementing interactive features like filtering, drilling, and real-time updates.

Performance is a critical consideration in dashboard design, especially when dealing with large datasets. Tom employs techniques such as data aggregation, virtual scrolling, and efficient state management to ensure dashboards remain responsive. His experience with platforms like Printify, which serves 10M+ merchants, underscores his ability to build visualization layers that scale. He understands the trade-offs between client-side and server-side rendering and architects solutions that balance functionality with speed.

Specialization in Map-Based Web Applications

Geospatial data visualization is a distinct and complex subfield, and Tom has proven expertise in building sophisticated map-based web applications. His portfolio includes projects for clients like the Ordnance Survey, the Polish Tourism Organisation, and the Marshal Office of the Silesian Voivodeship. These projects often involve displaying layered geographic data, enabling spatial analysis, and creating intuitive user interfaces for non-technical audiences.

Developing map applications involves integrating with various mapping libraries and tile services, handling large geospatial datasets, and creating custom interactive overlays. Tom has worked on applications that visualize everything from tourism routes and historical sites to infrastructure networks and environmental data. He understands the nuances of coordinate systems, projection handling, and performance optimization for rendering thousands of map features without lag.

The user experience for a map application is paramount. Tom combines his engineering skills with a strong UX mindset to design interfaces where map interaction feels natural. This includes implementing features like custom drawing tools, location search, distance measurement, and data filtering tied to map extents. His work ensures that complex geospatial capabilities are presented in an accessible way, empowering users to derive meaningful insights from location data.

Building Scalable Data Visualization Products

Tom's experience extends beyond project work to building and scaling entire data visualization products. As the founder of Websoul, he was responsible for the entire product lifecycle of a fintech SaaS platform, where data visualization was a core feature. This required building a robust, multi-tenant architecture where thousands of businesses could view and interact with their unique marketing and financial data securely and reliably.

At Printify, he contributed to the design system and rebranding effort ahead of the Printful merger, work that directly impacted the visual consistency and usability of the platform for millions of merchants. In such large-scale environments, a systematic approach is crucial. Tom advocates for and builds reusable visualization components and design systems. This ensures consistency across an application, improves development velocity for large engineering teams (like the ~60 frontend engineers at Printify), and makes the product more maintainable.

Scalability also involves planning for data growth and evolving user needs. Tom architects visualization systems with extensibility in mind, making it easier to add new chart types, data sources, or interactive features over time. He considers how the visualization layer integrates with backend APIs and data warehouses, ensuring that the entire stack can support increasing data volume and user concurrency without degradation in the user experience.

Technical Stack and Modern Development Practices

Tom's primary technical toolkit for data visualization includes modern JavaScript frameworks, TypeScript, and specialized libraries. He has deep proficiency in Vue.js and React, choosing the right tool for the project and team. TypeScript is a cornerstone of his development process, providing type safety that is especially valuable in complex data-driven applications where the shape of data is critical.

For charting, he has extensive experience with libraries like D3.js for bespoke, low-level visualizations, as well as higher-level frameworks like Chart.js, Apache ECharts, and AG Grid for advanced data grids. For map-based work, he is skilled with Leaflet, Mapbox GL JS, and OpenLayers. His full-stack capabilities, often utilizing Supabase for backend services, allow him to own the entire feature, from database query to rendered visualization.

Beyond core libraries, Tom emphasizes modern development practices that lead to high-quality outcomes. This includes a strong focus on accessibility (WCAG), ensuring that data visualizations are perceivable and operable by all users. He implements comprehensive testing strategies for visualization logic and advocates for AI-assisted workflows to improve code quality and developer productivity. His approach is always geared towards creating maintainable, well-documented codebases that teams can build upon for years.

Collaborating with EU, UK, and US Teams

Working remotely from Poland, Tom is adept at collaborating with distributed teams across multiple time zones. He has a long history of successful engagements with companies in the European Union, the United Kingdom, and the United States. His communication style is clear, proactive, and tailored to async collaboration, making him a reliable partner for remote-first or hybrid organizations.

He is comfortable with the communication rhythms required for cross-time-zone work, ensuring sufficient overlap for synchronous meetings when needed while making effective use of asynchronous tools for updates and reviews. Tom's background includes technical writing and public speaking, which translates into an ability to articulate complex technical concepts to mixed audiences, from engineers to executives. This skill is invaluable when aligning a team on the vision and implementation details of a data visualization project.

Tom enjoys partnering closely with product managers, designers, data scientists, and other engineers to turn requirements into a working product. He sees himself as a bridge between disciplines, capable of understanding the data story a product manager wants to tell, the interaction model a designer envisions, and the architectural constraints the engineering team must respect. This collaborative, product-minded approach ensures the final visualization delivers real business value.

When This is a Good Fit

Hiring Tom as your data visualization engineer is an excellent fit if you need a senior or staff-level engineer who can own the visualization layer of your product from concept to deployment. This is ideal for startups building a data-heavy MVP, scale-ups needing to modernize and scale their analytics dashboards, or established companies undertaking a complex geospatial visualization project. It's a perfect match if you value a product-minded engineer who thinks beyond the code to the user's experience and the business outcome, and if you operate with a remote or distributed team in the EU, UK, or US time zones.

Frequently asked questions

What industries have you built data visualizations for?

I have delivered data visualization solutions across a wide range of industries including agritech (DeLaval, Bunge), industrial SaaS (Fream), e-commerce and print-on-demand (Printify), workplace technology (Croissant), healthcare (GE Healthcare), consumer goods (Unilever), public sector and tourism (Ordnance Survey, Polish Tourism Organisation), and academia (Silesian University of Technology).

Do you only work on frontend visualization, or the full data stack?

I work on the full stack. My expertise covers the entire pipeline, from designing backend APIs and data models to building the frontend interactive charts and maps. I often use full-stack tools like Supabase and focus on creating architectures where the visualization layer is efficiently fed by scalable data services.

How do you handle time zone differences when working with US teams?

Based in Poland, I am available for significant overlap with US East Coast hours. I am experienced in async communication and structuring work to facilitate collaboration across time zones. I am also available for occasional on-site workshops and team offsites as needed.

Can you help modernize an existing legacy data dashboard?

Yes, modernizing legacy systems is a core part of my work. This can involve migrating from older charting libraries to modern frameworks, improving performance and scalability, enhancing the UX/UI, and integrating with new data sources. My experience with Angular and React allows me to tackle modernization projects in various tech stacks.

What is your approach to accessibility in data visualizations?

I prioritize accessibility (WCAG compliance) from the start. This includes ensuring proper color contrast, providing text alternatives for charts, implementing keyboard navigation for interactive elements, and making sure screen readers can interpret the data. Accessible design is fundamental to creating inclusive products that serve all users.

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