Cloud Architect/Team Lead
Listed on 2026-10-30
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing, Information Security & Data Protection
Constant learning and evolution is a way of life are always looking for passionate individuals that are ready to evolve in tandem with our team, defining and re-defining each facet of their career life professionals are rewarded for their contributions to our clients, our culture and the overall quest for excellence. We view each of our professionals as a catalyst for growth, for Evolvers, our clients, and for the industry.
Title:
Cloud Architect/Team Lead
Location:
Remote Duration: 4 years
Project work entails further development and maintenance of the Aviation Data Analytics Warehouse platform, including integration of new datasets, implementation of enhancements to pipelines, troubleshooting bugs, and providing detailed documentation. This work requires experience with agile project delivery management and experience in Microsoft Azure cloud development.
We are creating a team of Program Manager, Cloud Architect/Team Lead, Data Engineer, and QA/QC Specialist.
- Cloud Architecture and Strategy:
Define and lead overall ADAW cloud data architecture and strategy including establishing and implementing industry standards for scalability, resilience, and performance. - Data Platform Architecture:
Oversee design and deployment of ADAW data warehouse platform including establishing and implementing standardized data ingestion, transformation and storage patterns, lakehouse architectures, and data retention policies. - Data Integrations and APIs:
Lead data integration implementation for APIs, batch feeds, streaming data, SFTP file drops, including developing API management strategies and best practices for data transfer protocols. - Security and Compliance:
Implement security architecture for ADAW platform including appropriate identity and access management (IAM), role-based access controls, and key management.
- Microsoft Azure Platform, including Synapse Analytics, Data Factory, Azure SQL, Databricks, and Dev Ops.
- Relational databases, including Microsoft SQL Server.
- Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
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