Job Overview We are on the cusp of a major transformation in our data capabilities, and we are looking for a hands-on Data Platform Engineer to help lead the way. Working alongside a Staff Data Architect and Engineer, you will play a key role in designing and setting up the next generation of our lakehouse and analytics platform a foundation that will directly drive the next phase of our companys growth and innovation. This is a unique opportunity to build an entire modern data stack from the ground up, combining cutting-edge open-source tools and cloud-native infrastructure. Key Responsibilities Hands-on Architecture and Development: Define, design, prototype, and deliver a robust lakehouse and analytics platform leveraging best-in-class technologies. Build the Core Platform: Collaborate with the Staff Data Architect to set up core infrastructure involving ingestion (ETL/ELT), warehouse, transformation, orchestration, and BI/analytics layers. Leverage Modern Data Stack: Work across an environment involving GCP-based compute instances and containers (Airbyte, ClickHouse, dbt, metriql, Prefect, Metabase, Next.js frontend) bringing cutting-edge engineering principles to life. Optimize for Scale and Security: Implement warehouse best practices, optimize performance for large-scale analytics, and enforce role- and attribute-based access controls. Data Modeling Excellence: Design flexible and scalable models to support real-time analytics, complex business queries, and long-term historical analysis. Innovation and Automation: Drive automation wherever possible in data ingestion, validation, transformation, and reporting processes. Cross-functional Collaboration: Work closely with Product, Engineering, and Leadership teams to ensure alignment with broader company objectives and business strategies. Mentor and Uplift: Provide technical mentorship to junior engineers and set high standards for operational excellence across the data organization. Drive Success Metrics: Align milestone progress with leadership goals around platform adoption, scalability, reliability, and impact on business KPIs. Skills Required 5+ years of experience designing, building, and scaling modern data platforms. Proven hands-on expertise with ETL/ELT pipelines, cloud-based warehouses (SQL, NoSQL, MPP, OLAP/OLTP), and advanced database optimization. Strong SQL and Python skills for data engineering and automation. Familiarity with setting up containerized data services (Docker/Kubernetes environments). Deep understanding of cloud platforms at least one of GCP, AWS, or Azure. Exposure to analytics workflows and BI environments. Strong experience working with Git, Jira, Confluence, Jenkins, and modern DevOps pipelines.

Job Overview We are a rapidly growing B2B SaaS company building the next generation of data and analytics products for large enterprises. We are seeking an experienced Lead Front-End Engineer specializing in React.js to join our team at a pivotal moment of growth. You will work closely with our newly assembled Warehouse + Analytics Platform Team to design and build front-end interfaces that bring data to life for our customers including dashboards, visualization layers, embedded analytics, and operational UIs. This role is critical to the next leg of our product evolution. Work Hours: Evening collaboration with US-based teams Key Responsibilities Lead Front-End Transformation: Spearhead the migration of our existing front-end from Vue.js to React.js, setting a modern, scalable foundation. Build Data-Driven Experiences: Architect and deliver highly performant front-end applications focused on analytics dashboards, visualizations, and data interaction workflows. Technical Leadership: Mentor front-end engineers, review code, and enforce high standards of technical excellence and best practices. End-to-End Collaboration: Partner closely with the Data Platform Team (warehouse, ETL/ELT, BI) and UX/UI designers to create seamless and intuitive data experiences. Product Sense: Think deeply about user journeys, ensuring every touchpoint feels effortless and drives customer delight. Performance Optimization: Tune front-end performance for large, dynamic datasets ensuring responsive, lightning-fast user interfaces. Innovation: Explore and integrate modern React.js capabilities (hooks, context, component libraries) to keep the tech stack future-proof. Strategic Problem Solving: Operate in a fast-paced, ambiguous environment and make high-leverage architectural and technical decisions aligned with product goals. Skills Required Deep expertise in React.js , with proven experience leading large front-end projects or migrations. Strong grasp of modern JavaScript , HTML5 , CSS3 , and front-end architectural patterns (state management, component design). Hands-on experience building analytics dashboards , working with libraries like MUI, Charts.js , Recharts , D3.js , or equivalent. Familiarity with design systems and building reusable UI components. Experience working closely with data teams, understanding how to interface with APIs, warehouses, and real-time data streams. Background in Agile or lean development methodologies. Excellent communication skills able to bridge conversations between design, product, engineering, and leadership