Data Integration Manager Jobs
Data Integration Manager jobs are open across fintech, healthcare, retail, and enterprise technology, from mid-level to director, with specializations in ETL pipeline development, API integration, and data warehouse management. Find a role that fits below and apply directly.
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This position will be filled at either the Solutions Architect 3 or Solutions Architect 4 level, depending on the qualifications and experience of the selected candidate.
Weapons Research Services (WRS) is seeking a Data Integration Architect to recover, understand, and operationalize archived physics analysis codes as governed, Super Intelligence (SI)-enabled analysis skills. These capabilities will allow authorized users to reproduce historic analyses and, when appropriate, reconstruct experimental data products from the governing physics, source data, and documented assumptions. The position will be filled in the WRS Weapons Mission Technology group and will work closely with the WRS Data Operations and Governance center, physicists, code developers, and mission customers to make trusted analysis capabilities discoverable, reusable, and verifiable.
Solutions Architect 3 $117,200 - $195,400
As a Solutions Architect 3, the candidate will perform tasks and be responsible for including, but not limited to, the following:
- Evaluate archived LANL physics analysis codes and workflows, including their purpose, inputs, assumptions, dependencies, execution environments, outputs, post-processing, and known limitations.
- Work with analysts and subject-matter experts to determine whether a set of analysis code can be reliably reproduced by SI and reused for analysis of experimental data.
- Recreate representative analyses using appropriate datasets; identify missing dependencies, undocumented assumptions, and differences from historical results.
- Package validated code workflows as reusable SI-enabled analysis skills or archived capabilities with documented inputs, outputs, configuration requirements, and intended use.
- Develop test cases and comparison methods that demonstrate a skill faithfully reproduces the underlying analysis within documented limits.
- Capture provenance for code versions, input data, parameters, execution configurations, and results so analyses can be traced and repeated.
- Work with data stewards and repository owners to ensure associated data and skills have appropriate access controls and are usable in governed workflows.
Solutions Architect 4 $141,500 - $238,300
As a Solutions Architect 4, in addition to the responsibilities outlined at the lower level, the candidate will perform tasks and be responsible for including, but not limited to, the following:
- Establish the architecture, standards, and lifecycle practices for converting physics codes into governed, reusable SI-enabled analysis skills in a production environment.
- Lead prioritization and readiness assessments across a portfolio of candidate codes and datasets, including risk, resource, sustainability, and mission-value considerations.
- Define enterprise standards for SI skill interfaces, stable identifiers, versioning, provenance, verification evidence, access attributes, and authoritative reference sources.
- Lead cross-disciplinary teams to resolve scientific-fidelity issues and ensure skills generate validated, reproducible analysis results.
- Design integration patterns connecting analysis skills to Laboratory repositories, APIs, data models, and SI-enabled workflows in a production environment.
- Represent the capability at architectural and data-governance boards; translate mission requirements into executable technical strategy and mentor staff to use the capability.
What You Need
Minimum Job Requirements:
Technical Knowledge
Working knowledge of how physics and engineering simulation and analysis codes are built, configured, run, verified, and validated. Demonstrated experience developing, maintaining, or integrating production-quality scientific, data-integration, or SI-enabled software. Ability to assess existing source code in multiple coding languages, build environments, dependencies, and scientific workflows.
Technical Excellence
Demonstrated experience establishing reliable, reproducible computational analyses through version control, configuration management, provenance capture, test cases, and documented validation methods. Experience developing or integrating APIs, schemas, or other interfaces used by scientific or data-management teams.
Working knowledge of data-access controls, repository-backed workflows, and secure computing environments. Demonstrated ability to learn unfamiliar scientific domains and legacy computational systems quickly and apply sound technical judgment to resolve complex problems.
Leadership
Demonstrated ability to plan and execute moderately complex technical work with limited direction; identify risks, communicate constraints, and coordinate effectively with scientists, software engineers, data stewards, and management. Commitment to quality, accountability, collaboration, and safety in the workplace.
Communication
Excellent interpersonal, oral, and written communication skills. Ability to document technical methods, code configurations, validation evidence, and operating procedures for both technical and non-technical audiences; communicate findings, risks, and recommendations clearly to project stakeholders and management.
Education/Experience at Solutions Architect 3: Position requires a bachelor's degree and 8 years of related experience, or an equivalent combination of education and experience directly related to the occupation.
Additional Job Requirements for Solutions Architect 4
Demonstrated experience leading complex cross-disciplinary technical efforts from concept through operational deployment. Ability to define architecture and standards, set technical direction across multiple projects, establish governance and verification practices, and guide others in the development of reusable scientific or data capabilities.
Education/Experience at Solutions Architect 4: Position requires a bachelor's degree and 12 years of related experience, or an equivalent combination of education and experience directly related to the occupation.
Desired Qualifications:
- Knowledge of LANL Weapons Programs and the Nuclear Security Enterprise.
- Knowledge of Department of Energy (DOE) enterprise data and SI solutions and/or National Nuclear Security Administration (NNSA) SI solutions.
- Experience working with and developing physics-based codes or scientific analysis workflows.
- Experience working on classified networks.
- Experience in R&D data management, stewardship, or institutional repositories.
- Experience creating production-ready capabilities that use customer input regularly to improve the product experience.
- Current DOE Q clearance, or equivalent.
Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 2 years.
Note to Applicants:
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
- PPO or High Deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages (outside a 50 mile radius)
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q(Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
- Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Incentive Compensation Program: Solutions Architect 4 Position is eligible to participate in the Triad Incentive Compensation Program. You must be in an eligible position for a minimum of 3 months, before July 1st and remain in an eligible position as of the end of the fiscal year, September 30th. The annual distribution is prorated based on the number of months in the eligible position.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Government & Public Sector
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What Employers Look For
The qualifications that appear most often in data integration manager jobs.
- Five or more years of experience designing and implementing ETL or ELT data pipelines
- Proficiency with integration platforms such as Informatica, Talend, MuleSoft, or Azure Data Factory
- Strong SQL skills and experience working with relational and cloud-based data warehouses
- Experience integrating APIs and managing connections across SaaS and on-premise systems
- Bachelor's degree in computer science, information systems, or a related technical field
- Familiarity with data governance practices, lineage documentation, and integration testing frameworks
Tips for Your Data Integration Manager Job Search
Tailor your resume to integration architecture
Generic data engineer resumes miss the mark. Highlight specific pipeline tools you've owned end-to-end, such as Informatica, Talend, or Azure Data Factory, and quantify the data volumes and system connections you managed, not just the tools you used.
Lead with cross-system complexity you resolved
Hiring managers for this role care most about how you handled competing source systems, schema conflicts, or failed syncs. Your resume should show a before-and-after on a messy integration problem, not a list of platforms you touched.
Apply early to roles that fit
Migrate Mate lists data integration manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by integration stack not just title
Job titles vary wildly for this function. Search for the core tools in your stack alongside the role title, like Kafka, Boomi, or Mulesoft, to surface openings that actually match your background and avoid mismatched screener calls.
Prepare for a whiteboard integration design exercise
Many interviews include a live system design question where you map data flows between two hypothetical platforms. Practice drawing source-to-target schemas, identifying transformation logic, and naming failure points you'd monitor in production.
Negotiate scope alongside compensation
Data integration managers often inherit under-documented systems. Before accepting an offer, ask which existing integrations you'll own from day one and whether legacy tech debt is on the roadmap for replacement, so you're not walking into a backlog with no budget.
Data Integration Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data integration managers?
The most active employers for data integration managers right now are Amazon, Peraton, and Deloitte, and the most openings are in Texas, Virginia, and California, based on current listings on Migrate Mate as of November 2026. Demand tends to concentrate in industries undergoing large-scale digital transformation, including healthcare, financial services, and enterprise software.
How many data integration manager jobs are remote?
About 78% of data integration manager openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed technical leadership. Roles focused on cloud-native integration platforms and API management tend to offer the highest share of remote arrangements, while positions tied to on-premise legacy systems more often require on-site work.
How do you become a data integration manager?
Start by building hands-on experience as a data engineer or ETL developer, owning pipelines from source to target. Move into roles where you coordinate across engineering, analytics, and business teams. Develop fluency in at least one major integration platform, then take on project leadership. Demonstrating that you can manage both technical complexity and cross-functional communication is what moves candidates into the manager tier.
Can you get a data integration manager job without direct management experience?
Yes, candidates do transition into the role without prior direct reports by positioning deep technical ownership as leadership. If you've led an integration project, defined standards for a team, or mentored junior engineers on pipeline design, those count as evidence of management readiness. Smaller companies and startups are more open to promoting a strong individual contributor into a first management role than large enterprises.
What does the data integration manager interview process look like?
The process typically moves through a recruiter screen, a technical phone interview covering data modeling and pipeline architecture, and then a panel round. The panel usually includes a system design exercise where you diagram a realistic integration scenario, plus a behavioral interview focused on how you've handled failed pipelines, competing stakeholder priorities, or inherited technical debt. Final rounds often include a hiring manager conversation about team structure and roadmap.
Where can I find and apply to data integration manager jobs?
You can find and apply to data integration manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing from the page.
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