Data Engineer

ROLLER • Austin, TX

2d • Remote

About The Position

ROLLER is seeking a highly technical, hands-on Senior Data Engineer to architect and scale their data infrastructure. This role is a core part of the data function within the Business Technology team, responsible for building pipelines and models to improve decision-making and operational efficiency. The Senior Data Engineer will build and architect the modern data stack, ensuring robustness, automation, and governance. They will collaborate with Go-To-Market (GTM), Product, Finance, and People & Culture (P&C) teams to create high-performance data models and pipelines that transform raw data into actionable cross-functional insights. This is a foundational role with the opportunity to significantly impact ROLLER's technical landscape during a pivotal growth stage.

Requirements

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build.
• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.
• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran, Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• High appetite for Technology and AI and a natural curiosity for how it can transform work.
• Comfortable using AI tools to automate repetitive 'busy work,' freeing up focus for high-impact work.

Nice To Haves

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
• Create and maintain intuitive, high-performance Looker dashboards.

Responsibilities

• Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Create and maintain intuitive, high-performance Looker dashboards (this will be an added advantage).

Benefits

• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns.
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed