What are the responsibilities and job description for the Lead Data Enterprise Architect position at Mitchell Martin, Inc.?
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 :
|
#LI-VP2
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 :
|
#LI-VP2