Lead Data Engineer & Modeler

At 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.

Who is BigCommerce

BigCommerce (Nasdaq: BIGC) is a leading software-as-a-service (SaaS) ecommerce platform that empowers merchants of all sizes to build, innovate, and grow their businesses online. As a leading open SaaS solution, BigCommerce provides merchants sophisticated enterprise-grade functionality, customization, and performance with simplicity and ease-of-use. Tens of thousands of B2B and B2C companies across 120 countries and numerous industries use BigCommerce to create beautiful, engaging online stores, including Ben & Jerry’s, Skullcandy, Sony, and Woolrich. Headquartered in Austin, BigCommerce has offices in San Francisco, Sydney, and London.

Our mission is to power unrivaled ecommerce success at every stage of our customers’ growth. We equip growing businesses with the world’s most effective platform for creating beautiful stores, attracting customers wherever they shop, and generating sales. Online businesses using BigCommerce can outsell and outperform those on other platforms.

At BigCommerce, 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 BigCommerce. 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 BigCommerce into its next generation of data innovation.

Platform Leadership

• Build 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 teams.

• Partner with product, engineering, and data science to ensure the data architecture aligns with product goals and technical realities.

• Select, implement, and manage the modern data stack—covering ingestion, transformation, storage, orchestration and access controls.

• Drive performance, reliability, and cost-optimization of analytics systems at scale.

• Adhere to existing technical patterns and standards for warehouse design, ETL/ELT pipelines, and data access APIs.

• Work closely with the Product Managers to convert roadmap objectives into architectural blueprints.

• Incorporate new data sources and translate business and analytics needs into technical requirements for data infrastructure.

• Guide software development teams in adhering to data patterns and data quality best practices.
   

Governance & Quality

• Champion data integrity, privacy, and security—embedding governance and observability into the data platform.

• Implement scalable strategies for lineage tracking, cataloging, and metadata management across the entire organization. 
   

Data Modeling

• Develop 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 workflows.

• Establish modeling standards that ensure consistency, reusability, and performance across product domains, multi-tenant environments and different data storage types

What You'll Bring

• Education: Preferred Minimum - Bachelor's degree in CS, EE, SW, CE, MIS

• 7+ years in data engineering, modeling, or analytics platforms, ideally within SaaS or product analytics environments.

• Proven ability to design systems that support both real-time and batch workloads at scale.

• Strong foundation in dimensional and normalized modeling, warehouse design, and ETL/ELT pipelines.

• Exposure and interest in Data Architecture

• Technical Mastery Across the Modern Data Stack

• Hands-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 infrastructure.

• Familiarity with event streaming platforms (Kafka, Kinesis), GraphQL, NoSQL databases, and cloud platforms (AWS, GCP).

• Collaboration & Communication

• Strong ability to partner with engineers, analysts, and product leaders to align architecture with business goals.

• Skilled at simplifying complex systems and communicating technical solutions to diverse stakeholders.

• Governance & Innovation Mindset

• Experience embedding data integrity, privacy, and compliance standards (GDPR, SOC) into large-scale platforms.

• Exposure to embedded analytics, data APIs, and machine learning pipelines.

• A passion for clean, scalable architecture and enabling intelligence through data.

What You’ll Impact

• A world-class customer-facing analytics experience used by thousands of merchants daily.

• AI and ML-powered features that transform how merchants manage and grow their businesses.

• Internal decision support systems used by executives, product managers, and operations teams.

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(Pay Transparency Range: $116,000-$174,000)

At 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/

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
Be advised:
Commerce does not offer jobs to individuals who do not go through our formal hiring process.
Commerce will never:

• require 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.