Title: Lead Data Enterprise Architect
Location: Charlotte, NC (Hybrid)
Employment Type: Contract (1.5 Year) - 3 Days Onsite Work Required
- Lead Data Enterprise Architect
3 days onsite work required in Charlotte , NC
1.5 Year contract
Please email resume with current location details
• Your Current location (City & State ) –
• Would you need visa transfer in future –
• Can you work on our W2 –
Required:
• 12+ years of experience in data architecture, data engineering, or related technology roles.
• 7+ years of experience designing enterprise-scale data platforms.
• Proven experience architecting large-scale solutions utilizing Python, Hadoop, Oracle, and cloud technologies.
• Experience leading enterprise modernization and migration initiatives.
Technical knowledge and experience:
• Hadoop Ecosystem , Spark Hive
• HDFS Kafka Data Lakes
• Oracle , SQL Server
• Cloud Technologies - AWS , Cloud-native data services , Containerization technologies
• Data Integration - ETL/ELT frameworks
• Data orchestration tools - API-based integrations
• Programming - SQL , Python , Shell scripting
Desired Qualifications:
• Experience with data governance platforms such as Collibra.
• Experience with modern query engines such as Starburst or Trino.
Role and Responsibilities:
Enterprise Data Architecture:
• Define and maintain the enterprise architecture roadmap aligned with business and technology strategies.
• Establish and ensure adherence to architectural standards, principles, and best practices across data platforms and repositories.
• Design scalable architectures for data ingestion, processing, storage, integration, and consumption.
• Evaluate emerging technologies and recommend solutions that improve efficiency, scalability, and business outcomes.
• Data Architect to lead the design, evolution, and modernization of enterprise data platforms and architectures for Global Regulatory Reporting.
• The Senior Architect will partner with business leaders, technology teams, data engineers, architects, and governance organizations to ensure compliance with global enterprise strategy.
• The ideal candidate possesses deep expertise in distributed data processing, data integration, cloud architecture, data governance, and large-scale modernization initiatives.
• This role is responsible for defining strategic architecture, establishing technology standards, and driving scalable solutions across on-premise and cloud ecosystems, including Hadoop, Oracle, AWS, data lakes / data warehouses, etc.
Data Platform Strategy & Modernization:
• Design migration and modernization initiatives involving legacy platforms, Oracle databases, Hadoop ecosystems, and cloud-native architectures.
• Design and optimize enterprise data lakes, data warehouses, and analytical platforms.
• Provide strategic direction for cloud adoption, hybrid architectures, and distributed computing solutions.
• Ensure architectures support high-volume, high-velocity processing requirements.
Data Integration & Engineering:
• Promote reusable frameworks and standardized integration patterns across the enterprise.
• Collaborate with engineering teams to implement scalable data pipelines.
• Ensure data architectures comply with regulatory, risk, privacy, and security requirements.
• Partner with data governance organizations to define metadata, lineage, retention, and data quality standards.
• Support audit, compliance, and regulatory reporting initiatives.
Viral Patel . IT Talent Acquisition Manager
Mitchell Martin Inc.
Office :
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#LI-VP2
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.
- Dice Id: mitchmar1
- Position Id: 26-27279
- Posted 1 hour ago
