Senior Data Integration Architect

ApplyLogic Consulting Group, LLC

United States

On-site

USD 125,000 - 155,000

Full time

4 days ago

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Benefits offered by this job

Employee Assistance Program

401K

Medical Insurance

Dental Insurance

Vision Insurance

PTO 15 days

Federal Holidays 11

Job summary

ApplyLogic seeks a senior Data Integration Engineer IV to design and lead enterprise data integration solutions for a federal government client in Northern Virginia. You will oversee ETL/ELT processes, data pipelines, APIs, and data platforms to ensure secure, reliable, and scalable data movement across complex systems.

The role requires 7+ years in data integration, strong SQL skills, and experience guiding technical teams.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or related field or equivalent experience.
7+ years of progressively responsible experience in data integration, data engineering, ETL/ELT, or related discipline.
Demonstrated experience designing and leading enterprise data integration solutions.
Advanced proficiency in SQL and enterprise relational database technologies.
Extensive experience designing, developing, and optimizing ETL/ELT processes and data pipelines.
Experience with integrating complex enterprise systems, applications, databases, and APIs.
Strong problem-solving, communication, and stakeholder management skills.

Responsibilities

Lead the design, development, implementation, and optimization of enterprise data integration architectures and solutions.
Provide senior technical expertise in ETL/ELT, data pipelines, APIs, data transformation, system integration, and enterprise data platforms.
Design scalable and reliable integration solutions across complex systems, databases, applications, and data sources.
Establish technical standards, patterns, and best practices for data integration and pipeline development.
Lead data migration, transformation, consolidation, and modernization initiatives.
Develop and optimize SQL, data transformations, integration workflows, and pipeline architectures.
Lead troubleshooting and root-cause analysis for high-impact integration issues.
Evaluate integration environments and recommend improvements to architecture, performance, scalability, automation, and reliability.
Establish monitoring and operational practices for enterprise integration processes.