AIS (Applied Information Sciences)

Data Architect

AIS (Applied Information Sciences)

full-time

Posted on:

Location Type: Remote

Location: Remote • Virginia • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AzureCloudIoTNoSQLSQL

About the role

  • 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.

Requirements

  • 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.
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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Azure Data FactoryAzure Data LakeAzure Event HubAzure Synapse AnalyticsAzure DatabricksAzure Machine LearningAzure Cognitive ServicesData warehousingBig dataMachine Learning operations (MLOps)
Soft skills
consultative skillspresentation skillscommunication skillsteam management skillsmentorship
Certifications
Microsoft Azure Cloud Certifications