Senior Data Architect

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.

As aSenior 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.

• 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.

This is a remote position with occasional travel once (if needed).

• Must have and maintain a Secret clearance

• Bachelor's Degree (or equivalent work experience) and 10+ years of experience

• Azure certification such as AZ-900 required

• Security+ or similar IAT II certification required

• Minimum ten years of relational data background

• Minimum five years of data architecture experience

• Extensive experience with Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics)

• 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, understand requirements and envision 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

• Expert with Azure cloud computing, including big data technologies

• Proven experience developing Big Data solutions in the Azure space

• Intermediate Azure certification preferred

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.