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Perficient

Lead Integration Engineer (Informatica SaaS MDM)

Posted 14 Days Ago
In-Office or Remote
Hiring Remotely in United States
111K-145K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
111K-145K Annually
Expert/Leader
Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.
The summary above was generated by AI

We currently have a career opportunity for an Lead Integration Engineer (Informatica SaaS MDM) to join our team. Candidates preferred from east coast and midwest US, candidates in other continental US locations may be considered. Candidates are expected to be able to work with clients across the US n eastern, central and pacific time zones and flexible for travel, if needed. 

 

Job Overview:

We are seeking a highly skilled Lead Integration Engineer to lead the integration workstream for an enterprise Informatica SaaS MDM implementation. This role is responsible for designing, developing, testing, and deploying integrations between enterprise applications, source systems, third-party platforms, and the MDM ecosystem using Informatica IDMC, IICS/IAC, CDQ, CDI, APIs, and related Informatica cloud services.

The ideal candidate will serve as the technical lead for all integration activities, establishing integration architecture, development standards, and best practices while ensuring successful delivery across the project lifecycle. This individual will manage and mentor two offshore integration developers, providing technical guidance, code reviews, work allocation, and quality oversight.

Strong expertise in the Informatica platform is essential, with experience integrating data into and out of MDM environments. Experience with Snowflake and Airbyte is highly desirable.

 

Responsibilities
  • Lead the end-to-end integration workstream for an Informatica SaaS MDM implementation.
  • Design, develop, test, and deploy data integrations using Informatica IDMC, IICS/IAC, CDQ, CDI, and related Informatica cloud services.
  • Build and maintain integrations between enterprise source systems, applications, APIs, MDM, and downstream data platforms.
  • Define integration architecture, patterns, reusable components, mapping standards, and development best practices.
  • Design and implement batch, real-time, API-based, and event-driven integration solutions.
  • Collaborate with business stakeholders, MDM architects, data stewards, business analysts, and source system teams to understand requirements and deliver solutions.
  • Partner with data quality and MDM teams to ensure accurate, trusted, and governed master data.
  • Develop and document source-to-target mappings, transformation logic, error handling, and reconciliation processes.
  • Monitor and troubleshoot integration pipelines and resolve production issues as needed.
  • Conduct code reviews and provide technical leadership and mentorship to two offshore integration developers.
  • Support project planning, estimation, sprint execution, testing, deployment, and hypercare activities.
  • Ensure integrations comply with enterprise security, governance, and operational standards.

 

Qualifications
  • 10+ years of hands-on experience with Informatica technologies, including: 
    • Informatica Intelligent Data Management Cloud (IDMC)
    • Informatica Intelligent Cloud Services (IICS)
    • Informatica Application Integration Cloud (IAC)
    • Informatica Cloud Data Integration (CDI)
    • Informatica Cloud Data Quality (CDQ)
    • Informatica MDM (Cloud/SaaS and/or traditional MDM platforms)
  • Proven experience leading integration development efforts on large-scale enterprise implementations.
  • Strong understanding of enterprise integration patterns and architectures.
  • Experience building integrations using REST APIs, web services, file-based interfaces, and message-based integrations.
  • Strong SQL skills and experience with data transformation, profiling, validation, and reconciliation.
  • Experience working with Agile implementation methodologies.
  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
  • Familiarity with AI-enhanced platforms is a plus.
  • A solid understanding of AI capabilities and limitations including ethical considerations is expected.
  • Demonstrated ability to lead technical teams and coordinate offshore resources.
  • Strong analytical, troubleshooting, and communication skills.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
  • Candidates preferred from east coast and midwest US locations, candidates in other continental US locations may be considered. 
  • Candidates are expected to be able to work with clients across the US n eastern, central and pacific time zones and flexible for travel, if needed (up to 25%).

ABOUT THE TEAM 

Our Data & Analytics team drives cutting-edge innovation in digital transformation deployment globally and across industries. We partner with a diverse range of clients and support them at every stage of the data lifecycle—from curation and ingestion to management, analytics, and reporting. Our practice spans AI, Data Management, Content, Data Strategy, and more. From building modern data platforms to applying machine learning and generative AI, we help organizations unlock deeper insights, automate decision-making, and drive smarter outcomes. In our collaborative, fast-paced environment, you’ll work with industry-leading tools and technologies, tackling real-world challenges and delivering impactful solutions that shape the future of digital transformation.  

ABOUT PERFICIENT 

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com. 

  

ADDITIONAL INFORMATION 

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. 

  

Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. 

  

Applications will be accepted until the position is filled or the posting is removed. 

  

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $111,300 to $144,600. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview. 

#LI-KD1

 

Disclaimer:  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. 

 

 

About UsPerficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.

Perficient New York, New York, USA Office

111 Broadway, New York, NY, United States, 10006

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