MDM Lead Engineer [Semarchy xDM]

·       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