Principal - Cloud Data Architect
On-siteRaleigh, North Carolina, United States or Allen, Texas, United States
Job Summary
Design secure, scalable, and cost-effective data architecture while leading the adoption and integration of AWS/Azure services with multi-functional teams. Collaborate with data engineers to prepare raw data for prescriptive and predictive modeling, and assess data management technologies to eliminate gaps between current and future states. Interpret strategic plans to improve data integration, quality, and delivery, and articulate architectural trade-offs before recommending optimal solutions. Motivate staff through teaching and influence technical skills development, while driving thought leadership on emerging trends to enhance client data value.
Required Qualifications
- 12+ years of Proven ability implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies
- Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling using industry standard languages including SQL and Python
- Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks
- Ability to think strategically and relate architectural decisions and recommendations to customer needs
- Ability to assess traditional and modern data architectural components based on business needs
- Familiarity with recommending data governance standard methodologies including MDM, security, privacy and policies
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