Overview
Remote
Contract - W2
Skills
Pivotal
Computer Science
Information Systems
Leadership
Data Engineering
Microsoft SQL Server
Data Lake
NoSQL
Database
Cosmos-Db
MongoDB
Apache Cassandra
Data Quality
Microsoft Power BI
Dashboard
Reporting
Cloud Computing
Data Security
Advanced Analytics
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Microsoft Azure
Databricks
Microsoft
Analytics
Unstructured Data
Data Modeling
Data Architecture
Collaboration
Innovation
Business Transformation
Artificial Intelligence
DICE
Job Details
Data Architect (GenAI)
Are you a visionary data leader passionate about harnessing the transformative power of Generative AI? Join us as a Data Architect (GenAI) and lead our innovative Insights team in shaping the future of enterprise data solutions. In this pivotal role, you will design and implement cutting-edge data architectures on Azure and modern data platforms, driving strategic insights and AI-powered analytics that impact our organization globally. If you're ready to influence the direction of AI-driven data strategies and lead a talented team, this is your chance to make a significant difference.
Required Skills:
Nice to Have Skills:
Preferred Education and Experience:
Other Requirements:
Step into a role where your expertise drives business transformation through innovative data solutions-apply now and help us redefine what's possible with data and AI!
#LI-SB1
#Dice
Are you a visionary data leader passionate about harnessing the transformative power of Generative AI? Join us as a Data Architect (GenAI) and lead our innovative Insights team in shaping the future of enterprise data solutions. In this pivotal role, you will design and implement cutting-edge data architectures on Azure and modern data platforms, driving strategic insights and AI-powered analytics that impact our organization globally. If you're ready to influence the direction of AI-driven data strategies and lead a talented team, this is your chance to make a significant difference.
Required Skills:
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
- 5+ years of experience in data engineering, architecture, or analytics
- Proven leadership of Data Engineering Teams in enterprise environments
- Expertise in SQL Server, Azure Data Lake, Databricks, and Microsoft Fabric
- Hands-on experience with NoSQL databases such as Cosmos DB, MongoDB, or Cassandra
- Strong knowledge of data quality practices, profiling, validation, and monitoring
- Proficiency in Power BI dashboard development and enterprise reporting
- Deep understanding of Azure cloud services, data security, and governance
- Knowledge of advanced analytics, machine learning, and AI integration
Nice to Have Skills:
- Experience with Generative AI tools and integrating AI into data insights
- Certifications like Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer, or Microsoft Fabric Analytics Engineer Associate
- Familiarity with unstructured data sources and data modeling best practices
- Strong collaboration skills and ability to communicate technical concepts to executive audiences
Preferred Education and Experience:
- Master's degree in a relevant discipline is a plus
- 5-7 years of relevant professional experience in data architecture or engineering
- Demonstrated success leading enterprise-scale data projects and teams
Other Requirements:
- Willingness to collaborate across departments and support continuous innovation initiatives
- Ability to stay current with evolving data technologies and AI advancements
Step into a role where your expertise drives business transformation through innovative data solutions-apply now and help us redefine what's possible with data and AI!
#LI-SB1
#Dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.