MDM Lead Engineer

This is a senior, hands-on technical leadership role. We are looking for someone who can become a trusted technical owner for our MDM platform and reliably drive initiatives from design through execution.

The ideal candidate should have strong Semarchy xDM and Master Data Management expertise , combined with solid data engineering, data analysis, team leadership, and business-facing communication skills.

Key Requirements

• 10+ years of relevant engineering and data experience.
• Strong hands-on expertise with Semarchy xDM.
• Deep understanding of Master Data Management concepts, including match/merge, survivorship, golden records, hierarchies, data quality, stewardship, workflows, and publishing/integration patterns.
• Proven experience implementing enterprise MDM solutions end-to-end, from requirements and data analysis through production implementation and support.
• Strong SQL, data profiling, and data analysis skills, with the ability to investigate anomalies, identify patterns, and drive root-cause analysis.
• Strong understanding of the underlying data domain and the ability to go beyond application configuration to understand source data, business processes, and downstream consumption.
• Solid data engineering background with experience building and supporting production-grade data pipelines.
• Experience with technologies such as Snowflake, Azure, ADF, dbt, Fivetran, Python, APIs, or comparable modern data technologies.
• Strong understanding of data modeling, data quality, data governance, metadata, lineage, and stewardship concepts.
• Ability to manage multiple priorities and switch effectively between architecture, engineering, analysis, team leadership, and stakeholder engagement.
• Comfortable operating in a high-expectation, fast-moving environment with competing priorities and tight delivery timelines.
• Ability to provide hands-on technical leadership to onshore and offshore engineering teams.
• Experience reviewing and guiding technical designs, data models, SQL, pipelines, implementation approaches, and code.
• Strong ownership mindset — someone who can take ambiguous problems, bring structure, make sound technical decisions, and drive them through completion.
• Strong curiosity about data and a genuine passion for solving difficult data problems.
• Strong problem-solving skills with a focus on identifying and addressing root causes rather than implementing short-term fixes.
• Outcome-driven, dependable, and committed to delivery.
• Excellent written and verbal communication skills.
• Strong presentation skills and the ability to communicate effectively with Product Owners, Data Stewards, business stakeholders, architects, engineering teams, and senior technology leaders.
• Ability to translate business requirements into scalable and maintainable technical solutions.
• Forward-looking mindset with an interest in modern engineering practices and AI-native approaches to data quality, automation, engineering productivity, and problem solving.

Strongly Preferred

• Financial Services, Asset Management, Wealth Management, or Capital Markets experience.
• 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 MDM platforms with cloud data warehouses, operational systems, APIs, and downstream analytical platforms.