> Markdown version of [/jobs/ext/3668582-lead-dataops-engineer](https://www.wearedevelopers.com/jobs/ext/3668582-lead-dataops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead DataOps Engineer - **Company:** Resourcesoft, Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Cloud Services, DataOps, SQL Databases, Enterprise Data Management, Google Cloud, Azure Data Factory, Delivery Pipeline, Pyspark, Data Pipelines, Databricks - **Published:** October 10, 2026 - **Apply:** https://www.careerjet.com/jobad/use3bc6f9d8b7fee2082c18a2037017848 ## About the Role 8+ years of experience in DataOps, Data Engineering, Cloud Data Platforms, and Enterprise Data Solutions Proficiency in Databricks, Lakehouse Architecture, and Data Platform Modernization Experience in Airflow, Azure Data Factory, Dagster, dbt, and data orchestration frameworks Experience with PySpark, SQL, data modeling, and modern data architecture practices Experience in Azure, AWS, GCP, CI/CD pipelines, automation frameworks, and platform engineering Strong communication skills with expertise in team leadership, mentoring, and stakeholder collaboration Responsibilities Lead delivery of DataOps, analytics, and data engineering initiatives across multiple business domains Proficiency in establishing DataOps standards, governance models, and operational best practices Experience in implementing automated pipelines, orchestration workflows, and observability capabilities Experience with defining data contracts, reliability targets, and scalable data product frameworks Experience in driving architectural alignment, technical quality, and process improvement initiatives Communicate project priorities, technical risks, delivery status, and strategic recommendations to stakeholders