Manager, Data and Analytics
Coppell, TX, United States
USD 120K-170K (estimate) Senior-level Full Time
Tasks
- Architect and evolve lakehouse platform on Azure
- Build semantic models for self service analytics
- Define data architecture strategy
- Deliver Power BI solutions
- Deliver secure scalable reliable data solutions
- Design enterprise data and analytics platforms
- Ensure data pipelines meet SLA availability freshness completeness accuracy
- Establish data quality monitoring validation alerting
- Implement data governance metadata lineage classification access control
- Implement enterprise data standards ingestion transformation data quality monitoring
- Lead, mentor, and develop data engineering teams
- Maintain documentation SOPs and operational runbooks
- Manage team goals performance capacity and workload
- Optimize platform performance and manage cloud costs
- Partner with business stakeholders manage requirements and expectations
- Perform root cause analysis and resolve data platform issues
- Prioritize workloads and allocate resources
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Apache Airflow | Auto Loader | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure Event | Azure Event Hubs | CI/CD | Cloud cost governance | Cluster management | Cost governance | Data Architecture | Data Engineering | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Pipeline Monitoring | Data Quality | Data pipeline | DataOps | Databricks Workflows | Delta Lake | Dimensional Modeling | Event Hubs | Infrastructure as Code | Kafka | Lakehouse | Metadata Management | Microsoft Azure | Pipeline monitoring | Power BI | Semantic Modeling | Structured Streaming | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
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