Senior Data Engineer

February 13

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Sanity

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Sanity is a highly customizable headless content management system (CMS) that offers a flexible editing environment, APIs, and a decoupled back end designed for seamless integration into various digital workflows. With Sanity's Content Lake, powerful real-time collaboration tools, and AI-driven features, users can efficiently manage content as data, ensuring it is actionable and scalable. This platform serves diverse use cases, including e-commerce, enterprise marketing, and media distribution, and integrates with leading technologies like Shopify, Mux, and Vercel. Sanity is aimed at developers, content creators, and enterprises seeking to enhance content velocity and engagement while maintaining scalability and future-proofing capabilities with a composable architecture. Their no-ops solutions democratize content creation across various touchpoints, enabling innovative omni-channel customer experiences.

51 - 200 employees

🏢 Enterprise

🛍️ eCommerce

☁️ SaaS

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines to ensure data is efficiently processed, transformed, and made available across the company. • Collaborate with engineering teams to implement and scale product telemetry across our product surfaces. • Develop and maintain data models in BigQuery that balance performance, cost, and usability. • Establish best practices for data ingestion, transformation, and orchestration, ensuring reliability and efficiency. • Orchestrate data workflows to reduce manual effort, improve efficiency, and maintain high data quality standards. • Work closely with data analysts, engineers, and other internal stakeholders to understand their data needs and design robust pipelines that support data-driven decision-making. • Build scalable and flexible data solutions that address both current business requirements and future growth needs. • Partner with engineering, growth, and product teams to enhance data accessibility and usability. • Monitor and optimize data pipeline performance and costs as data volumes grow. • Implement and maintain data quality frameworks and testing practices. • Contribute to the evolution of our data infrastructure through careful evaluation of new tools and technologies. • Help establish data engineering best practices that scale with our growing business needs.

🎯 Requirements

• 4+ years of experience building data pipelines at scale, with deep expertise in SQL, Python, and Node.js/TypeScript for data engineering workflows. • Proactive mindset with exceptional attention to detail, particularly in maintaining comprehensive documentation and data lineage. • Strong communication skills with demonstrated ability to collaborate effectively across US and European time zones. • Production experience with workflow orchestration tools like Airflow, and customer data platforms like RudderStack, ideally in a B2B SaaS environment. • Proven experience integrating and maintaining data flows with CRM systems like Salesforce, Marketo, or HubSpot. • Track record of building reliable data infrastructure that supports rapid business growth and evolving analytics needs. • Experience implementing data quality frameworks and monitoring systems to ensure reliable data delivery to stakeholders. • Experience with product analytics tools like Amplitude, Mixpanel, or PostHog. • Experience with Google Cloud Platform and BigQuery.

🏖️ Benefits

• Opportunity to evolve and scale our data infrastructure to support rapid company growth • Work directly with engineering and product leadership to drive and execute on the company's data strategy • A highly-skilled, inspiring, and supportive team • Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth • A global, multi-culturally diverse group of colleagues and customers • Comprehensive health plans and perks • A healthy work-life balance that accommodates individual and family needs • Competitive salary and stock options program