# Staff Data Platform Engineer **Company**: Zendesk **Location**: Pune **Work arrangement**: hybrid **Experience**: staff **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://zendesk.wd1.myworkdayjobs.com/en-US/zendesk/job/Pune-India/Staff-Data-Engineer_R32879?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b7f60c6e-070 ## Description ## Job Overview We're looking for an experienced Staff Data Platform Engineer to join our growing Platform engineering team in Pune, India. You'll work in a collaborative Agile environment, driving innovations in data infrastructure that powers advanced analytics and lays the foundation for AI and machine learning integration across Zendesk's data platform. ## About the Team We're a newly formed Data Platform Team dedicated to developing and maintaining Zendesk's data platform that powers next-generation reporting and analytics across the product portfolio. As a Staff Data Platform Engineer, you'll design and develop advanced data infrastructure for the Zendesk Data Platform. Data is at the heart of Zendesk's business – this is a high-impact, high-ownership role with broad technical and organizational influence. ## Key Responsibilities - Lead architecture and roadmap: + Define and evolve the end-to-end data platform architecture across ingestion, transformation, storage, and governance. + Establish standardized data contracts, schemas, documentation, and tooling to improve consistency and reduce time-to-data for analytics and product teams. + Lead build-vs-buy evaluations and pilot new technologies to improve reliability, speed, or cost. - Deliver platform capabilities at scale: + Design and deliver secure, highly-available data services and pipelines handling large-scale, mission-critical workloads. + Own, operate, and scale our core orchestration platform (Astronomer / Apache Airflow), optimizing performance, deployment workflows, and infrastructure costs. - Raise the engineering bar: + Define standards for data modeling, testing (unit/integration/contract), CI/CD, Infrastructure as Code, and code quality; champion reproducibility and reliability. + Conduct deep root cause analyses; drive systemic fixes that improve resilience and developer experience. ## Requirements ### Basic Qualifications - 10+ years of total software/data engineering background, with 3+ years dedicated to Platform Engineering or Data Infrastructure. - 3+ years leading complex, cross-team architecture and infrastructure initiatives at a Staff level. - Hands-on technical expertise designing, provisioning, and managing cloud environments on public clouds like AWS, GCP, Azure (primarily AWS). - Experience with infrastructure automation tools like Terraform, CloudFormation (primarily Terraform). - Proven track record designing and automating robust CI/CD pipelines using tools like Github Actions, Jenkins (primarily Github Actions). - Intermediate-level experience with at least one of the programming languages: Python, Go, Java, Scala (primarily Python). - Working knowledge of Docker. - Intermediate-level experience with SQL. - Experience implementing monitoring and observability frameworks (preferably for data pipelines). - Strong communication skills, both written and verbal – you'll collaborate closely with people in multiple time zones. - Ability to work independently and in a team, with a proactive approach to improving developer experience and engineering processes. ### Preferred Qualifications - 3+ years of experience building & maintaining scalable data infrastructure with a strong focus on automation and reliability. - Interest / Experience in building developer-facing automation agents, internal CLI tools, or platform productivity integrations. - Experience ‘managing’ ETL orchestration platforms such as Airflow, Dagster (primarily Airflow). - Familiarity with dbt (Data build tool), used for building data pipelines. - Familiarity with Data Governance and security compliance best practices. ## What Our Stack Looks Like - Infrastructure (AWS, Docker, Terraform) - CICD (Github Actions) - Data Pipeline and Orchestration (Snowflake, dbt, Astronomer Managed Airflow) - Monitoring and Observability (DataDog, MonteCarlo) ## Work Environment - Hybrid: Our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration – while also giving you flexibility to work remotely for part of the week. ## Skills ### Required - Python - Terraform - Github Actions - Docker - SQL - AWS - Apache Airflow - DataDog - MonteCarlo - Snowflake - dbt ### Nice to have - ETL orchestration platforms - Data Governance - developer-facing automation agents - internal CLI tools - platform productivity integrations --- Source: [Apply at zendesk.wd1.myworkdayjobs.com](https://zendesk.wd1.myworkdayjobs.com/en-US/zendesk/job/Pune-India/Staff-Data-Engineer_R32879?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)