We are seeking a skilled and detail-oriented DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms that support enterprise-scale web, mobile, and AI-driven applications.
Requirements
- Develop, deploy, and maintain data ingestion, transformation, and delivery pipelines using Azure Data Factory, Databricks, or equivalent frameworks.
- Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions
- Automate data quality checks, schema validation, and error handling mechanisms
- Integrate structured, semi-structured, and unstructured data sources (APIs, databases, IoT, etc.)
- Collaborate with Data Engineers, DevOps, and Developers to enable seamless data flow between systems
- Manage and optimize Azure cloud data services (Data Lake, Synapse, SQL, Blob Storage, Key Vault)
- Implement infrastructure as code (IaC) using ARM templates, Terraform, or Bicep for provisioning data resources
- Enforce data governance and access controls aligned with organizational policies
- Implement automated data quality and validation frameworks
- Build dashboards for tracking data pipeline health, latency, and throughput
- Work closely with Data Engineers, Business Analysts, and Product Teams to align data operations with business goals
- Support the data integration needs of downstream systems like BI dashboards (Power BI, Tableau) or AI applications
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance