Data Architect

October 2

Apply Now

Receive Emails with Similar Jobs

AIS (Applied Information Sciences)

WebsiteLinkedInAll Job Openings

Custom Application Development • Cloud Computing • Infrastructure & Systems Engineering • SharePoint • Azure & AWS

501 - 1000

Description

• 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. • Work in a team with other smart AIS employees and use cutting-edge technologies to solve challenging enterprise problems. • Design data platform solutions using cloud-native 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 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.

Requirements

• U.S. Citizenship required. • 10+ years of relational data background. • 5+ 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 Azure Data services such as Azure Data Lake, Azure Data Factory, Azure Synapse, 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. • Bachelors Degree preferred. • Proficient in leveraging modern data lakehouse technologies such as Dremio to manage distributed data sources. • Experience utilizing data cataloging and metadata management platforms like DataHub for data discovery and governance. • Background with data science tools such as R, Python, and Scala is a plus. • Experience with data visualization and analysis tools such as Power BI or Tableau. • Desire to obtain or utilize relevant technical certifications as part of continuous professional growth. • CompTIA Security+ or similar IAT Level II certification.

Benefits

• Competitive Salaries • Qualified Overtime • Paid Time Off (PTO) • Flexible Holiday Leave (88 hours per year) • Parental Leave • Immediate Healthcare: Medical, Dental, Vision, and Life Insurance • Employee Stock Ownership Plan (ESOP) • 401(k) Retirement Plan (5% match on base compensation, immediate 100% vesting) • Tuition Reimbursement & Learning Allowance • Referral Bonus Program (up to $5k)