Enterprise Data Architect Lead Specialist

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Enterprise Data Architect Lead Specialist
Location: Charlotte North Carolina
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

We are seeking an experienced Enterprise Data Architect Lead Specialist to guide the design development and implementation of enterprise-level data architecture this role you will develop strategic data frameworks that support business needs ensure system scalability and establish data governance and integration best practices. You will collaborate with technical and business teams to define data standards and drive the alignment of enterprise data systems with organizational goals.

The ideal candidate will have strong expertise in data architecture data modeling cloud data technologies and enterprise data platforms. This role requires strong leadership capability hands-on architectural design skills and the ability to communicate complex data concepts to stakeholders at all levels.

Key Responsibilities

Lead the development and execution of enterprise data architecture strategies and roadmaps.
Design and establish data models data standards and best practices for enterprise applications and analytical solutions.
Develop architecture frameworks for data integration master data management metadata management and data quality improvement.
Define and optimize data pipelines storage solutions and data workflows across cloud and on-prem environments.
Evaluate new technologies tools and platforms and recommend solutions aligned to business goals.
Support large-scale system modernization and digital transformation initiatives.
Mentor technical teams and provide architectural guidance throughout project lifecycle.
Collaborate with business leaders analysts and engineering teams to deliver end-to-end scalable data solutions.
Ensure compliance with data governance privacy and security standards.
Produce architectural documentation architectural artifacts and solution diagrams.

Required Skills and Qualifications

12 years of experience working in data architecture enterprise data platforms and large-scale data solutions.
Proven experience designing enterprise data models conceptual/logical/physical models and data frameworks.
Strong expertise in SQL NoSQL and data integration technologies.
Hands-on experience with cloud platforms such as AWS Azure or Google Cloud.
Experience with data warehousing technologies such as Snowflake Redshift BigQuery Synapse or Teradata.
Skilled in ETL/ELT tools and data pipeline technologies such as Informatica Talend Databricks or Apache tools.
Strong understanding of data governance MDM metadata management and data quality management.
Ability to architect scalable data and analytics environments for real-time and batch processing.
Background working with BI/reporting and analytics platform technologies.
Excellent problem-solving analytical communication and stakeholder management skills.
Ability to lead cross-functional technical teams in a fast-paced environment.
Bachelors or Masters degree in Computer Science Information Technology or a related field.

Job Title: Enterprise Data Architect Lead Specialist Location: Charlotte North Carolina Experience Required: 12 Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking an experienced Enterprise Data Architect Lead Specialist to guide the design development ...

Job Title: Enterprise Data Architect Lead Specialist
Location: Charlotte North Carolina
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

Key Responsibilities

Lead the development and execution of enterprise data architecture strategies and roadmaps.
Design and establish data models data standards and best practices for enterprise applications and analytical solutions.
Develop architecture frameworks for data integration master data management metadata management and data quality improvement.
Define and optimize data pipelines storage solutions and data workflows across cloud and on-prem environments.
Evaluate new technologies tools and platforms and recommend solutions aligned to business goals.
Support large-scale system modernization and digital transformation initiatives.
Mentor technical teams and provide architectural guidance throughout project lifecycle.
Collaborate with business leaders analysts and engineering teams to deliver end-to-end scalable data solutions.
Ensure compliance with data governance privacy and security standards.
Produce architectural documentation architectural artifacts and solution diagrams.

Required Skills and Qualifications

12 years of experience working in data architecture enterprise data platforms and large-scale data solutions.
Proven experience designing enterprise data models conceptual/logical/physical models and data frameworks.
Strong expertise in SQL NoSQL and data integration technologies.
Hands-on experience with cloud platforms such as AWS Azure or Google Cloud.
Experience with data warehousing technologies such as Snowflake Redshift BigQuery Synapse or Teradata.
Skilled in ETL/ELT tools and data pipeline technologies such as Informatica Talend Databricks or Apache tools.
Strong understanding of data governance MDM metadata management and data quality management.
Ability to architect scalable data and analytics environments for real-time and batch processing.
Background working with BI/reporting and analytics platform technologies.
Excellent problem-solving analytical communication and stakeholder management skills.
Ability to lead cross-functional technical teams in a fast-paced environment.
Bachelors or Masters degree in Computer Science Information Technology or a related field.