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.

Introduction

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 and modernize data platform solutions using Azure data services such as Data Factory, Data Lake, Azure Event Hub, Azure Synapse Analytics, Azure Databricks, Azure Machine Learning, and Azure AI Services.
• Design scalable data processing and analytics solutions, including multi-cloud and on-premises big data storage for various data types and large-scale data processing.
• Apply your skills in Azure Cognitive Services, Azure PaaS, 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.

Required Qualifications:

• BA/BS/MS in Computer Science, Engineering, or an equivalent combination of education and/or experience.
• More than 5 years of experience as a Solution Architect. Minimum 5 years' experience in other technical roles such as developer or systems analyst.
• Strong consultative skills at a cross functional level.
• Good presentation and communication skills with the ability to translate and clearly formulate technical issues. Strong team management skills.
• One or more Microsoft Azure Cloud Certifications.
• Enterprise-scale technical experience with cloud and hybrid infrastructures, enterprise solution architecture designs, data pipeline, cloud and data security, data management, and cloud operations.
• Expert with Azure cloud and data architecture. Expert in both traditional and modern data architecture and processing concepts, including relational databases, Data warehousing, big data, both SQL and NoSQL databases, and business analytics.
• Experience with serverless, container, and pay-per-use cloud services and architectures.
• Big Data experience with Azure cloud technologies. Advanced Analytics and reporting/dashboarding experience with Azure cloud technologies.
• Proven experience with Data Governance, Data Engineering, and Data Science.
• Machine Learning experience and machine learning operations (MLOps) experience.
• Expertise with both structured and unstructured data management and analytic technology.
• 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).
• 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.

Location:

• This is a remote role with occasional onsite support in Arlington, VA.

Security Clearance and Citizenship Requirements:

• Must be able to obtain and maintain Public Trust Clearance.

Preferred Experience:

• 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.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.