Data Engineer (Azure Data Platform)
Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
21 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Must Have Technical/Functional Skills:
Cosmos; PL/SQL; MSBI; Digital : Microsoft Power BI; Digital : Big Data Platforms
Roles & Responsibilities:
- Automated Incident Detection & Remediation
- Design and implement automated incident detection and remediation frameworks for data platforms and pipelines.
- Shift incident response from reactive manual processes to proactive policy-driven workflows.
- Improve mean time to detect (MTTD) and mean time to remediate (MTTR) through automation.
- DataOps Automation & AIOps Frameworks
- Build and operationalize DataOps automation frameworks incorporating AIOps where applicable for anomaly detection and predictive alerting.
- Reduce operational noise and repetitive manual tasks through intelligent automation.
- Establish standardized operational runbooks and automated recovery patterns.
- Platform Observability & Telemetry Standardization
- Define and implement platform-wide observability and telemetry standards for data workloads.
- Enable consistent metrics logging alerting and health signals across platforms and pipelines.
- Ensure operational visibility is actionable and supports automated response.
- Self-Service Operational Tooling
- Build self-service operational tooling that enables engineering teams to debug monitor and resolve issues independently.
- Reduce operational dependencies on centralized teams and vendors.
- Empower teams with standardized dashboards insights and tooling.
- Automated Cost Governance & Optimization
- Establish automated cost governance and optimization frameworks for data platforms.
- Improve cost visibility through telemetry alerts and policy-based controls.
- Drive proactive cost management rather than reactive spend reviews.
Required Skills & Experience
- Strong experience in Data Operations Data Platform Operations or SRE/DataOps roles.
- Proven experience reducing operational toil through automation-first approaches.
- Hands-on experience with incident management observability and operational tooling.
- Experience operating within or transforming managed services or vendor-led operating models.
- Strong understanding of cost governance and optimization in data platforms.
- Hands-on experience with Microsoft Azure data platform services such as Azure Data Factory Azure Databricks Azure Synapse Analytics Microsoft Fabric
- Experience implementing CI/CD and release automation using Azure DevOps including Azure Pipelines repository management deployment workflows and environment-based promotion controls.
- Experience with Microsoft Entra ID Azure Key Vault and Microsoft Purview for identity secrets management governance data lineage and compliance controls.
- Strong scripting and engineering skills in Python SQL and PowerShell to build automation operational runbooks telemetry pipelines and remediation workflows.
- 8 years of relevant experience.