• Collaborate with account teams on discovery to connect customer pain to measurable engineering and manufacturing outcomes • Build ROI models and business cases rooted in the top line / bottom line / strategic framing • Anchor each case in reality • Pressure test the business cases account teams bring forward • Turn complex, often incomplete data into simple, compelling presentations and executive narratives • Create and maintain value frameworks leveraging bleeding edge enablement and support for the revenue team • Own the value content for QBRs • Partner with enablement and product marketing to sharpen value messaging

• Lead technical engagements end-to-end • Write and ship production code (Python, TypeScript, Node) • Architect solutions that pass customer Infosec and ARB review • Lead high-energy customer hackathons • Build and maintain reusable technical assets • Partner with Enterprise Architects • Evangelize Twilio within the B2B builder communities • Utilize your software engineering expertise • Work closely with the Demo Platform Engineering and Enterprise Architect teams • Synthesize field insights from production deployments

Role Description Confiz is seeking a Principal Data Engineer with 5+ years of hands-on experience in the modern cloud data stack. This role is ideal for someone passionate about building robust, scalable data solutions and who thrives in agile, collaborative environments. The core technical stack centers around: - Databricks / PySpark for large-scale data processing - DBT for transformation - Astronomer / Airflow for orchestration (with Cosmos to run DBT DAGs natively in Airflow) - Snowflake as the cloud data warehouse Responsibilities: - Build and maintain scalable data pipelines using DBT and Astronomer/Airflow for batch and incremental data processing. - Develop modular DBT transformation layers (staging → intermediate → mart) with robust testing, documentation, and incremental model strategies. - Orchestrate end-to-end workflows on Astronomer / Airflow, using Cosmos to trigger and manage DBT models as native Airflow DAGs. - Design and optimize Snowflake schemas, queries, and cost controls for analytical workloads. - Enforce data quality standards through DBT tests and pipeline observability tooling. - Write clean, well-tested Python and SQL code and actively participate in code reviews. - Lead and mentor a team of data engineers; contribute to sprint planning, architectural decisions, and technical standards. Qualifications - Bachelor’s in Computer Science or a related discipline. - Databricks & PySpark: Delta Lake, batch and streaming workloads, cluster and cost optimization. - DBT (Core & Cloud): Advanced data modelling patterns, incremental strategies, custom tests, and CI/CD integration. - Astronomer / Airflow: DAG authoring, Cosmos for DBT orchestration, and pipeline observability. - Snowflake: Data modelling, query performance tuning, access control, and cost governance. - Python and SQL: Strong programming skills with a focus on modular, maintainable, and testable code. - Cloud platform: Hands-on experience with Azure or AWS. - Agile & CI/CD: Comfortable working in agile teams with a CI/CD development mindset. Company Description We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit our LinkedIn page .

• Deliver projects related to pricing plans and billing. • Develop our billing integration with third party services, strengthening our end-to-end billing experience. • Take ownership of the entire product lifecycle, from writing code to product ideation and strategic decision-making. • Work closely with UX/UI designers and product managers to shape features. • Work as part of a team of engineers to design, build, test, and document core billing software components. • Integrate with third-party billing platforms (e.g., Stripe, Metronome) as needed. • Develop metering, pricing, and rating logic for usage-based and subscription billing models. • Ensure accurate tracking and reporting of customer usage data. • Monitor and maintain billing systems to ensure high availability and data integrity. • Build automation tools for recurring billing tasks, reconciliation, and reporting. • Collaborate with product, sales, and finance teams to support custom billing requirements. • Act as a technical expert in billing-related discussions and planning. • Champion engineering excellence by driving code quality, architectural reviews, and design documentation. • Provide technical leadership and mentorship to other engineers, fostering a culture of learning and knowledge sharing. • Establish observability, alerting, and error handling across the billing pipeline to ensure high availability and responsiveness. • Lead incident response and root cause analysis for billing-related issues.