Role Description Narvar is growing! We’re building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers. We’re looking for a Senior Data Engineer to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products. You’ll work across the full stack of our data infrastructure, from ingestion and transformation to the analytics surfaces our merchants use every day. You’ll make architectural decisions, ship production systems at scale, and we expect you to work in an AI-native way, using agentic coding tools to increase your leverage and ship faster. What You’ll Work On - Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery - Own end-to-end data models and transformations that power merchant analytics, operational reporting, and ML features - Build and maintain embedded analytics infrastructure — the data products our merchants interact with directly - Evolve our data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams - Improve data quality and reliability through testing, observability, alerting, and validation frameworks - Own data lineage, metadata, and documentation, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitions - Collaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions Qualifications - 5–8 years of experience building and operating production data systems - Strong SQL skills and proficiency in Python, with flexibility to pick up other languages as needed - Comfortable building and maintaining APIs - Experience with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well) - Understanding of data modeling — dimensional modeling, slowly changing dimensions, incremental processing - Treat data quality, lineage, and observability as first-class engineering concerns - Clear communication with technical and non-technical stakeholders - Experience using AI and agentic coding tools for planning, code generation, debugging, and code review Requirements - Experience in startup or high-ownership environments where you wore multiple hats - Experience building or maintaining embedded analytics or multi-tenant data products - Excitement about making data accessible to AI systems - Interest in cost optimization and data governance Benefits - Startup-level ownership with platform-level impact - Work on a team that values thinking, judgment, and responsibility Company Description We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. Narvar Pay Range: $135,000 — $190,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Company Description About Syngenta At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest. Job Description Support analytical data infrastructure providing application, tool, and ad-hoc access to large datasets consisting of complex data types including genomic, phenotypic, environmental, image and geospatial data. Engage with business stakeholders to understand strategic roadmaps and build a technical strategy to support them. Interface with DevOps teams to extract, load, and transform data from a wide variety of data sources using big data technologies. Deploy high value, high performance datasets. Create and support real-time data pipelines built on AWS technologies. Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics. Provide new capabilities and increase efficiency by continually researching the latest big data and visualization technologies. Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into data pipelines that exploit rich datasets for statistical analysis, prediction, clustering, and machine learning. Improve automation and simplifying data as a service. Role is fully remote. Qualifications This position requires a Bachelor’s degree in Engineering (Any), Computer Science, or a related field of study and five (5) of experience in the position offered or five (5) years of experience as a Data Engineer, Software Engineer, Technology Analyst, or a closely related occupation. Requires five (5) years of experience with: - Working with business and technical stakeholders to implement end‐to‐end data solutions including data models, data pipelines, and business intelligence products - Designing and implementing DW Architectures, OLAP technologies, Star schema, Snowflake schema, and Aggregation Techniques. - Gathering requirements and building custom BI and big data reporting solutions using Tableau, OBIEE, Looker, or PowerBI. - Architecting database management systems with Oracle, SQL Server, Postgres, Spark, or Hadoop. - Working with data structures and algorithms. - Programming and scripting languages including Shell, Python, Scala, or PySpark. Requires three (3) years of experience with: - Designing and building real time analytics platform with latencies less than a minute using Kafka, Spark, AWS, or GCP. - Working with Datadog to identity issues with data quality and anomalies, and setup alerting. - Setting up custom frameworks to identify data quality issues and introduce self-service Business Intelligence capabilities using CI/CD tools including Buildkite, Jenkins, or Gitlab. - Collaborating with Data Scientists and building data products that help machine learning teams in clustering, prediction, and statistical analysis. - Building data pipelines to extract load and transform data using big data technologies including BigQuery, Redshift, BigTable, Aerospike, Dataproc, or EMR. - Must pass a background check and drug test before beginning employment. Additional Information What We Offer: - A culture that celebrates belonging and collaboration, promotes professional development, and strives for a work-life balance that supports the team members. offers flexible work options to support your work and personal needs - Full Benefit Package (Medical, Dental & Vision) that starts on your first day. - 401k plan with company match, Profit Sharing & Retirement Savings Contribution. - Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Family and Medical Leave Act (FMLA) (http://www.dol.gov/whd/regs/compliance/posters/fmla.htm) Equal Employment Opportunity Commission's (EEOC) (http://webapps.dol.gov/elaws/firststep/poster_direct.htm) Employee Polygraph Protection Act (EPPA) (http://www.dol.gov/whd/regs/compliance/posters/eppa.htm) #LI-DNI

• Build and optimize BI solutions using Pentaho Data Integration and MicroStrategy to deliver reports, dashboards, and analytics. • Work with large data volumes efficiently using Pentaho Data Integration for the purposes of reporting, segmentation, predicting customer behavior, and other ad hoc requests • Design and develop MicroStrategy (version 10.4, 11.0) Reports, Documents, Cubes, Dashboards and Scorecards per specified requirements and timelines • Design and introduce new processes and solutions to drive sophisticated BI processes • Take part in defining the overall data integration architecture (e.g. ETL processes, Data Marts, OLAP) • Implement defined documentation and programming standards for projects and provide a documentation framework including requirements, design, testing and deployment documents • Maintain and expand existing knowledge of Business Intelligence and current technology through training opportunities • Explore new sources of information to expand insight opportunities

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are expanding our Product Analytics function and are looking for a Principal Product Analytics Engineer to define and build the technical foundation of our product analytics ecosystem. In this role, you will own the architecture for how product usage data is captured, structured, and made available for analysis across Toast’s ecosystem of mobile apps, web applications, Android OS software and hardware devices. A day in the life (Responsibilities) You will design systems and frameworks that power product telemetry, experimentation, analytics datasets, and AI-driven insights to enable product teams to understand user behavior and measure product impact. Working closely with Product, Engineering, Design, Data Platform, and Data Infrastructure teams, you will ensure product data is reliable, scalable, and built to support data-driven product development. You will use AI to deliver and improve the speed of insights into the product development lifecycle. The Product Analytics team sits inside of R&D Operations, which enables Toast’s product, design and engineering teams to build great products efficiently and at scale by providing the processes, insights and strategies to drive meaningful impact. - Lead the architecture and design of Toast’s product analytics data ecosystem, spanning product telemetry, event pipelines, analytics-ready datasets, and semantic views. - Establish scalable data models that support product analytics, experimentation, executive reporting, and AI-powered insights. - Design frameworks for core analytics concepts such as sessions, identity resolution, feature usage tracking, and lifecycle metrics. - Develop and maintain reliable analytics layers of the product data warehouse using modern modeling frameworks. - Create reusable analytics datasets, standardized metrics, and canonical models used across product teams. - Implement automated data validation, monitoring, and quality controls to ensure reliable product data. - Partner with engineering teams to define and enforce product telemetry and instrumentation best practices. - Establish governance processes that ensure consistent metric definitions and high-quality data across domains. - Partner with analysts, data scientists and product managers to ensure the data foundation supports experimentation, dashboards, analytical studies, and AI workflows. - Serve as the technical authority on product data architecture, reliability and governance. - Mentor team members to help elevate the organization’s ability to leverage product data effectively. What you'll need to thrive (Requirements) - Bachelor's degree in Computer Science, Information Systems, or a related field with a minimum of 12 years of experience in Data Engineering, Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 8 years of related experience; or a PhD with 5 years of experience; or equivalent experience. - Experience working with large scaled product data from source to warehouse, specifically with web & mobile apps, Android OS software and devices. - Deep experience designing product analytics data infrastructure including schema design, ETL/pipelines, warehouses, and designing datasets for AI-driven analytics. - Extensive hands-on experience with Amazon S3 Data Lake, Airflow, dbt, Snowflake, Hex, Sigma, Amplitude, Python or similar tools. Expert level SQL and modeling skills, and experience with AI tools like Claude, Cursor, Chatgpt, MCP. - Proven ability to translate stakeholder needs and requirements into deployed scalable data architecture. - Experience supporting data foundations for experimentation and A/B testing measurement frameworks. - Strong cross-functional leadership with experience driving alignment across Product, Engineering, and Data teams. - Excellent communication skills, demonstrated through documentation and presentation to stakeholders and senior leadership. - A self-starter mindset, excited to build something from scratch and evolve it over time. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $195,000—$312,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.