Senior Data Platform Engineer

Everything we do is for our customers!

Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, the company offers a unified commerce experience that our customers need, transforming ecommerce, retail, marketing automation, merchandising, helpdesk and AI operations with one platform designed to scale for fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by customer obsession, extreme urgency, excellence and resourcefulness to power 5,000+ global brands while we head to 100,000+.

Driven by the same customer-centric mentality as above, we empower businesses to achieve their goals and grow alongside us. If you're a driver and not passenger and are ready to make a significant impact and be part of our transformative journey, the company is the place for you.

The Opportunity

Thrive on change and grow beyond limits! We are looking for a bold thinker who sees a chance to learn and define whatʼs possible with every challenge! Ready to make an impact? Welcome to the company and you can turn ideas into action!

We are looking for an open-minded and enthusiastic Senior Data Platform Engineer  to join our team. If you are interested in building scalable data solutions that power analytics, reporting, cross-cloud insights, machine learning, and AI-driven experiences, we'd love to meet you!

We are a product-driven team, and we're looking for someone who enjoys solving complex data engineering challenges, collaborating across teams, and delivering end-to-end solutions with minimal dependencies.

What Youʼll Be Responsible For

• Design and build scalable data engineer services that power analytics, reporting, machine learning, and AI workloads across the company products.

• Build and maintain reliable data ingestion pipelines using CDC and event-driven architectures.

• Develop and evolve our centralized analytics warehouse, ensuring high performance, scalability, and maintainability.

• Design and implement data models, materialized views, and aggregation strategies to support product analytics and business reporting.

• Build supporting APIs and services that expose analytics and reporting capabilities to internal and external consumers.

• Define and implement multi-tenant security controls, data governance standards, and access management policies.

• Monitor data pipeline health, data freshness, ingestion lag, and overall system reliability.

• Contribute to technical specifications and actively participate in architecture and design discussions.

• Improve developer productivity through automation, tooling, observability, and operational excellence.

• Strengthen test coverage and engineering practices to ensure reliable and maintainable systems.

What Youʼll Bring to the company

• 5+ years of hands-on software engineering experience building and operating highly scalable distributed systems, data engineering solutions, or backend services in production.

• Backend engineering experience is mandatory, with hands-on experience building and maintaining production-grade backend services.

• Experience with system design, including backend systems, and experience working in a product-based environment are preferred.

• Good understanding of system design and the ability to make technical and architectural/design decisions.

• Strong experience with modern analytical data warehouses such as ClickHouse, BigQuery, Snowflake, or Amazon Redshift. Deep expertise in ClickHouse, including internals, materialized views, and OLAP workload optimization, is a plus.

• Experience designing and operating large-scale data ingestion pipelines using Kafka, Pulsar, CDC-based architectures, and related streaming technologies. Familiarity with tools such as Debezium, Flink, Dataflow, or similar streaming and data processing frameworks is preferred.

• Strong SQL skills with hands-on experience in data modelling, query optimization, and analytical workloads.

• Experience working on data engineering, or analytics engineering initiatives involving large-scale data processing and transformation workloads.

• Experience building and maintaining backend services in Go (preferred) or another modern strongly typed programming language, along with proficiency in Python.

• Experience with cloud platforms, preferably GCP, including managed data, messaging, and observability services.

• Experience owning and delivering production systems end-to-end, from technical design and stakeholder discussions through deployment, operational support, and iterative improvements across multiple release cycles.

• Experience with multi-tenant SaaS platforms, data governance practices, data security controls, and infrastructure-as-code tools such as Terraform.

• Experience with analytical and time-series databases such as PostgreSQL, TimescaleDB, or similar technologies.

• Exposure to AI-powered applications, LLM integrations, or agentic workflows is an added advantage.

• Comfortable participating in on-call rotations and focused on building simple, efficient solutions without over-engineering.

• Proactive and self-driven, with strong problem-solving and communication skills, and the ability to collaborate effectively with both technical and non-technical stakeholders.

• You exemplify the company’s Values:

• Customer Obsessed

• Extreme Urgency

• Excellence

• Resourceful

Message from the Founders: the company is looking for builders - people who want to drive our business forward at all costs in order to achieve the goals we have both short and long term for the results and outcomes that that will bring to us all.

If that isn't for you that’s ok, for those of you that it is please get in touch with us!