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As a
Data Architect, you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the industry's most talented, knowledgeable, and dedicated technologists. What You'll Be Doing- Work in a team with other smart AIS employees and use cutting-edge technologies to solve challenging enterprise problems.
- Design data platform solutions using Azure data services such as Data Factory, Azure Event Hub, Azure Synapse Analytics, and Azure Databricks.
- Design scalable data processing and analytics solutions, including Big data storage for various data types and large-scale data processing using Databricks.
- Apply your skills in Azure Cognitive Services, Azure P,aaS, and Machine Learning services.
- Use experience working with Azure Data & Storage, Azure Analytics & Azure IoT tools, and the traditional Microsoft BI Stack.
- Provide mentorship to more junior consultants.
- Minimum ten years of relational data background
- Minimum five years of data architecture experience
- Expert with Azure cloud computing including big data technologies
- Proven experience developing Big Data solutions in the Azure space
- Extensive experience with the Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics)
- Azure SQL Server
- Programming Languages: Python, PySpark, SQL
- Expert in both traditional and modern data architecture and processing concepts, including relational databases, Data warehousing, big data, NoSQL, and business analytics
- Hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services
- Proven ability to work in a client-facing role and understanding requirements, and envisioning solutions
- Experience with Azure cloud computing including big data technologies such as Azure Databricks cluster management.
- Background with Data Science tools such as R, Python, and SAS is a plus
- Experience with visualization tools such as Power BI or Tableau
- Desire to obtain or utilize relevant technical certifications as part of continuous professional growth
- Smart people with a passion for technology
- Strong technical capabilities with a consultancy mindset
- Close involvement with local technical communities
- A willingness to think outside of the box to provide innovative solutions to clients
- Ability to solve challenging technical business problems
- Self-directed professionals
- Client Success
- Continued Learning and Technical Excellence
- Strong Client Relationships
- Citizenship and Community