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 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.
• Develop full Databricks adoption plan including architecture, governance, data protection, leakage prevention, RBAC access enablement, integrations, interoperability, etc.
• Design enterprise Databricks data warehouse
• Collaborate with data engineers, analysts, and business stakeholders to define data models and integration strategies and optimize performance of large-scale data pipelines and workflows.
• Use experience working with Azure Data & Storage, Azure Analytics & Azure IoT tools, and the traditional Microsoft BI Stack.
• Establish best practices for data security, quality, and governance.
• Evaluate emerging technologies and recommend improvements to existing systems.

Required Qualifications:

• 10+ years of relational data background.
• 7+ years of data architecture experience.
• Expert with Azure cloud computing, including big data technologies.
• Proven experience developing Big Data solutions in the Azure space.
• Demonstrated experience architecting and building cloud-based data lakes
• Demonstrated experience in data warehousing - data lake design
• Proven expertise with Databricks, Spark, and cloud platforms
• Strong knowledge of data modeling, ETL/ELT processes, and distributed systems.
• Demonstrated experience designing and implementing end-to-end data architecture using Databricks and cloud technologies
• 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 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.

Location:

• This is a remote role with occasional travel to Reston, VA.

Security Clearance and Citizenship Requirements:

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

Preferred Experience:

• 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.

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.