Data Integration Lead Engineer

Durham, NC - USA

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Integration Lead Engineer
Location: Durham North Carolina
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

We are seeking a highly experienced Data Integration Lead Engineer to oversee and drive enterprise data integration initiatives. This role involves architecting designing and implementing integration solutions across diverse data platforms and business applications. The ideal candidate will have hands-on technical expertise strong leadership capability and the ability to collaborate with cross-functional teams to ensure seamless data exchange data quality and system reliability.

Key Responsibilities

Lead the design development and deployment of complex data integration solutions across enterprise environments.
Architect end-to-end data pipelines ETL/ELT processes and data flow frameworks using modern tools and platforms.
Manage integration between cloud on-premise and hybrid environments.
Ensure high data quality reliability security and scalability throughout integration projects.
Collaborate with data architects application owners and business users to define integration requirements and delivery timelines.
Provide technical leadership guidance and best practices to engineering and project teams.
Troubleshoot complex integration issues and optimize performance.
Support planning documentation testing and production release activities.
Implement governance standards automation practices and compliance guidelines.
Maintain expertise in emerging integration technologies and recommend improvements.

Required Skills and Qualifications

12 years of experience in data integration engineering architecture or similar technical roles.
Strong experience with ETL/ELT tools such as Informatica Talend Mulesoft DataStage SSIS or equivalent.
Hands-on experience with cloud integration platforms (AWS Glue Azure Data Factory GCP Dataflow etc.).
Deep expertise in SQL stored procedures relational and NoSQL databases.
Strong knowledge of API integration microservices REST/SOAP and message streaming technologies such as Kafka.
Experience working with data warehousing and modern data platforms such as Snowflake Redshift BigQuery or Synapse.
Proven ability to lead teams and manage complex data integration projects.
Familiarity with CI/CD pipelines DevOps practices version control and deployment automation.
Strong analytical communication and problem-solving skills.
Experience working in Agile and collaborative team environments.

Preferred Qualifications

Experience with Master Data Management (MDM) and Data Governance frameworks.
Background in financial healthcare telecom or enterprise-scale environments.
Relevant certifications in AWS Azure GCP or integration tools.

Job Title: Data Integration Lead Engineer Location: Durham North Carolina Experience Required: 12 Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking a highly experienced Data Integration Lead Engineer to oversee and drive enterprise data integration in...

Job Title: Data Integration Lead Engineer
Location: Durham North Carolina
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

Key Responsibilities

Lead the design development and deployment of complex data integration solutions across enterprise environments.
Architect end-to-end data pipelines ETL/ELT processes and data flow frameworks using modern tools and platforms.
Manage integration between cloud on-premise and hybrid environments.
Ensure high data quality reliability security and scalability throughout integration projects.
Collaborate with data architects application owners and business users to define integration requirements and delivery timelines.
Provide technical leadership guidance and best practices to engineering and project teams.
Troubleshoot complex integration issues and optimize performance.
Support planning documentation testing and production release activities.
Implement governance standards automation practices and compliance guidelines.
Maintain expertise in emerging integration technologies and recommend improvements.

Required Skills and Qualifications

12 years of experience in data integration engineering architecture or similar technical roles.
Strong experience with ETL/ELT tools such as Informatica Talend Mulesoft DataStage SSIS or equivalent.
Hands-on experience with cloud integration platforms (AWS Glue Azure Data Factory GCP Dataflow etc.).
Deep expertise in SQL stored procedures relational and NoSQL databases.
Strong knowledge of API integration microservices REST/SOAP and message streaming technologies such as Kafka.
Experience working with data warehousing and modern data platforms such as Snowflake Redshift BigQuery or Synapse.
Proven ability to lead teams and manage complex data integration projects.
Familiarity with CI/CD pipelines DevOps practices version control and deployment automation.
Strong analytical communication and problem-solving skills.
Experience working in Agile and collaborative team environments.