Required Skills: Senior Data Architect
Job Description
Need architects open from anywhere
Details:
Client is seeking a Data Engineer to design, develop, implement discrete data pipelines in support of RAG-based retrieval, inferencing, and reasoning. Self-starter and collaborative mentality is a critical part of this fast-moving team. Experienced-based proficiency with Microsoft Azure environment is necessary.
Data Engineering Enablement - Build batch/streaming ingestion pipelines (ADF/Synapse/Databricks Workflows, Event Hubs/Kafka).
- Implement change data capture (CDC) patterns and schema evolution handling with quarantine controls.
- Support automation of data reliability assessment.
Operations and Reliability - Establish continuous integration/continuous deployment (CI/CD) pipelines, along with infrastructure-as-a-code orchestration (Terraform or Bicep), and segregated environment strategy (dev/test/prod).
- Define service level agreements (SLAs) and service level objectives (SLOs) for data reliability; configure monitoring & alerting.
- Deliver cost optimization, performance tuning (OPTIMIZE, Z-ORDER), Backup strategy, and Disaster Recovery strategy.
Delivery and Handover - Document architecture, patterns, and runbooks; conduct training for data engineers.
- Collaborate with security, networking, and BI teams; drive stakeholder alignment.
Required Skills & Experience - 5–8 years in data engineering and data pipeline development
- Proficient in Python and SQL; experience with CI/CD and IaC (Terraform or Bicep).
- Excellent communication, documentation, and stakeholder management.
- Expertise in engagement with business users to align business objectives with technical considerations within Azure.