Lead Data Solutions Developer

Welcome to the Agentic Commerce EraAt Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you.At Commerce, we’re transforming how merchants harness data to scale their businesses and innovate online. As a Lead Data Engineer and Modeler, you will shape the foundational architecture that powers both our customer-facing analytics products and our internal decision-making systems. You’ll be at the forefront of building scalable, secure, and high-performance data infrastructure—enabling predictive insights, AI-driven tools, and analytics at enterprise scale.This role is a unique opportunity to influence the future of data at Commerce. You will collaborate across product, engineering, and data teams to design and optimize data platforms, ensuring they are built for both agility and long-term growth. Beyond infrastructure, you’ll drive data modeling best practices that translate business and product requirements into intuitive, reliable, and reusable structures.If you’re passionate about clean architecture, high-quality data systems, and enabling intelligence at scale, this role will give you the chance to lead Commerce into its next generation of data innovation.What You'll DoPlatform LeadershipBuild a scalable, unified data lake and mart across clouds (GCP and AWS) and across different types of data storage in collaboration with the Enterprise Architect, Principal Data Architect and Product Engineering teamsPartner with product, engineering, and data science to ensure the data architecture aligns with product goals and technical realitiesSelect, implement, and manage the modern data stack—covering ingestion, transformation, storage, orchestration and access controlsDrive performance, reliability, and cost-optimization of analytics systems at scaleAdhere to existing technical patterns and standards for warehouse design, ETL/ELT pipelines, and data access APIsWork closely with the Product Managers to convert roadmap objectives into architectural blueprintsIncorporate new data sources and translate business and analytics needs into technical requirements for data infrastructureGuide software development teams in adhering to data patterns and data quality best practicesGovernance & QualityChampion data integrity, privacy, and security—embedding governance and observability into the data platformImplement scalable strategies for lineage tracking, cataloging, and metadata management across the entire organizationData ModelingDevelop and maintain logical and physical data models to support customer-facing and internal analytics and business intelligence use cases Collaborate with product and engineering teams to align data models with evolving feature requirements and user workflowsEstablish modeling standards that ensure consistency, reusability, and performance across product domains, multi-tenant environments and different data storage typesWho You Are7+ years in data engineering, modeling, or analytics platforms, ideally within SaaS or product analytics environmentsProven ability to design systems that support both real-time and batch workloads at scaleStrong foundation in dimensional and normalized modeling, warehouse design, and ETL/ELT pipelinesExposure and interest in Data ArchitectureTechnical Mastery Across the Modern Data StackHands-on experience with cloud warehouses (BigQuery, Snowflake), orchestration frameworks (Airflow, dbt, Spark, Flink), and BI tools (Looker, Tableau, Power BI)Skilled in SQL, Python, Bash, and Git-based CI/CD for data infrastructureFamiliarity with event streaming platforms (Kafka, Kinesis), GraphQL, NoSQL databases, and cloud platforms (AWS, GCP).Collaboration & CommunicationStrong ability to partner with engineers, analysts, and product leaders to align architecture with business goalsSkilled at simplifying complex systems and communicating technical solutions to diverse stakeholdersGovernance & Innovation MindsetExperience embedding data integrity, privacy, and compliance standards (GDPR, SOC) into large-scale platformsExposure to embedded analytics, data APIs, and machine learning pipelinesA passion for clean, scalable architecture and enabling intelligence through data(Pay Transparency Range: $102,000 - $172,000)The exact salary will be dependent on the successful candidate’s location, relevant knowledge, skills, and qualifications.Inclusion and BelongingAt Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/Protect Yourself Against Hiring Scams: Our Corporate Disclaimer Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.Be AdvisedCommerce does not offer jobs to individuals who do not go through our formal hiring process.Commerce Will Neverrequire payment of recruitment fees from candidates;request personally identifiable information through unsanctioned websites or applications;attempt to solicit money from you as part of the hiring process or as part of an employment offer;solicit money to complete visa requirements as part of a job offer.If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.