MDM Lead Engineer
Turing AI Advancement Work · on-site · Translation / linguistics
MDM Lead Engineer is an open role at Turing AI Advancement Work, located in on-site.
Applications open on Turing AI Advancement Work’s own site. How we make money.
At a glance
- Pay
- Not disclosedTuring AI Advancement Work doesn't publish a rate for this listing
- Location
- on-site
- Work type
- Translation / linguistics
- Listed
- Since Oct 8, last confirmed Oct 19
From Turing AI Advancement Work’s listing
“MDM Lead Engineer Location: New York, NY Work Model: Hybrid – 3 days onsite per week Employment Type: Full-Time Experience: 10+ years About the Role We are seeking a senior, hands-on MDM Lead Engineer to join our Client Master Data team.”
Show the full listing
MDM Lead Engineer Location: New York, NY Work Model: Hybrid – 3 days onsite per week Employment Type: Full-Time Experience: 10+ years About the Role We are seeking a senior, hands-on MDM Lead Engineer to join our Client Master Data team. This person will serve as the technical owner for our Master Data Management platform and drive initiatives from requirements and data analysis through design, implementation, production support, and continuous improvement. The ideal candidate will have strong hands-on experience with Semarchy xDM, deep knowledge of MDM principles, strong SQL and data analysis skills, and the ability to lead onshore and offshore engineering teams. This role requires someone who can understand complex data problems, make sound technical decisions, and deliver reliable solutions with minimal oversight. Key Responsibilities Lead the design, implementation, and enhancement of enterprise MDM solutions using Semarchy xDM. Own MDM initiatives from business requirements and data discovery through production implementation and support. Define and implement match and merge rules, survivorship logic, golden records, hierarchies, workflows, stewardship processes, and data-quality controls. Perform data profiling, anomaly investigation, root-cause analysis, and data-quality assessments using SQL and other analytical tools. Understand source systems, business processes, data domains, and downstream data consumption. Design and support production-grade data pipelines and integrations between MDM platforms, cloud data warehouses, operational systems, APIs, and analytical platforms. Review and guide technical designs, data models, SQL, pipelines, code, and implementation approaches. Provide hands-on technical leadership to onshore and offshore engineering teams. Partner with Product Owners, Data Stewards, business stakeholders, architects, and senior technology leaders. Translate business requirements into scalable, maintainable, and governed technical solutions. Support data governance, metadata, lineage, stewardship, and operating-model initiatives. Manage multiple priorities in a fast-moving environment and drive initiatives through completion. Identify opportunities to apply modern engineering and AI-native approaches to data quality, automation, and productivity. Required Qualifications 10+ years of experience in data engineering, MDM, software engineering, or a related technical field. Strong hands-on experience with Semarchy xDM . Proven experience implementing enterprise MDM solutions end to end. Strong understanding of:Match and merge Survivorship Golden records Hierarchies Data quality Data stewardship Workflows Data publishing and integration patterns Strong SQL, data profiling, data analysis, and root-cause analysis skills. Experience with data modeling, data governance, metadata, lineage, and stewardship. Experience building or supporting production data pipelines. Experience with several modern data technologies such as Snowflake, Azure, ADF, dbt, Fivetran, Python, APIs, or comparable tools. Ability to review technical designs, data models, SQL, pipelines, and code. Experience leading or guiding onshore and offshore engineering teams. Strong written, verbal, presentation, and stakeholder communication skills. Ability to work onsite in the New York office three days per week. Strong ownership, problem-solving, and delivery mindset. Preferred Qualifications Experience in Financial Services, Asset Management, Wealth Management, or Capital Markets. Experience with Client, Customer, Organization, Contact, Account, Party, or similar master data domains. Salesforce integration experience. Experience modernizing or re-architecting an existing MDM implementation. Experience integrating Semarchy or other MDM platforms with cloud data warehouses, operational applications, APIs, and analytical platforms. Experience applying AI or automation to data quality, data engineering, or MDM processes. Profiles Not Suitable for This Role Please do not submit candidates who are primarily: MDM project or program managers without strong hands-on technical experience. Data governance professionals with limited engineering depth. Semarchy administrators without experience designing and implementing MDM solutions. Architects who are no longer hands-on. Pure data engineers with limited or no MDM experience. Candidates whose experience is primarily with Informatica, Reltio, or other MDM platforms without meaningful Semarchy xDM experience. People managers who rely heavily on their teams for technical decisions, troubleshooting, or solution design. Vendor Submission Details Please include the following information with each candidate submission: Current location Confirmation of ability and willingness to work onsite in New York three days per week Availability and notice period Compensation or rate expectations Total years of hands-on Semarchy xDM experience Most recent MDM implementation Current role and level of hands-on technical involvement Experience leading onshore and offshore teams Financial Services, Asset Management, or Wealth Management experience Work authorization status
About Turing AI Advancement Work: part of Turing. See the full profile →
Similar open roles
Frequently asked questions
How do I apply for the MDM Lead Engineer role at Turing AI Advancement Work?
Applications go through Turing AI Advancement Work's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Turing AI Advancement Work's access model is "Apply" (Apply to listed projects). This listing was first seen here on October 8, 2026 and was still live at the last check.
Is the MDM Lead Engineer role at Turing AI Advancement Work remote?
This role is listed for: on-site.
What does the MDM Lead Engineer role at Turing AI Advancement Work pay?
Turing AI Advancement Work doesn't state a rate on this listing. HumanSourcer never fills that gap with an estimate, so the absence is the source's, not a hole in this page. Turing AI Advancement Work's profile shows what its rate-carrying listings do advertise.
What kind of work is MDM Lead Engineer?
Translation / linguistics. Coding, data science, model evaluation, voice and domain review
Is Turing AI Advancement Work a legitimate AI-training platform?
Direct project marketplace - and that relationship is rated "Confirmed" here because it can be checked against work.turing.com rather than taken on Turing AI Advancement Work's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
Get new AI-training roles by email
One email a week: the new roles worth opening, what new listings pay, and a count from every network we track. No spam, unsubscribe anytime.
Free. See how we make money.