🕒 yesterday
Build and scale reliable data pipelines, establish dbt standards and quality controls, and create self-service tools and AI agents that help teams access and use data independently.
Senior MDM Engineer
📅 Sep 3
Master Data ManagementIdentity ResolutionDeterministic And Probabilistic MatchingGolden Records And Survivorship
📜 Description
- Own end-to-end MDM and relationship-graph architecture, from data modeling through integration, data quality, and governance.
- Configure match and merge logic, survivorship and trust rules, validation, and golden-record management.
- Establish data-quality baselines, stewardship workflows, issue queues, and operating models.
- Connect authenticated identity claims to resolved party records and define the identity boundary between platforms.
- Set engineering standards, document repeatable delivery practices, mentor a small team, and collaborate with client stakeholders.
🛠️ Requirements
- 10 to 15 years in enterprise data engineering and architecture, including production MDM delivery.
- Hands-on experience architecting and implementing physical MDM, party models, identity resolution, matching, golden records, and survivorship.
- Financial services experience required; private or commercial banking experience strongly preferred.
- Experience building for audit in a regulated industry and handling PII, tokenization, access controls, KYC, AML, and beneficial ownership requirements.
- Strong SQL and Python skills; experience with an enterprise MDM platform and cloud data platforms, with Azure preferred.
- Experience with graph stores such as Neo4j or Cosmos DB, data governance and quality tools, and banking systems.
- Track record mentoring or leading a small engineering team and delivering in client-facing or consulting settings.
- CDMP and relevant MDM, cloud, graph, governance, security, or privacy certifications are preferred or a plus.
- Build entity-resolution capabilities, relationship graphs, and pipelines that distribute trusted master data to consuming systems.
✨ Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Holiday pay
- Vacation
- Personal and family sick leave
Full job description
Who We Are
HIKE2 is an advisory and innovation partner helping organizations design and build what’s next.
We work with complex and regulated industries, including law firms, financial services, insurance, professional services, and high-growth SaaS companies, to modernize operating models and embed data, automation, and AI into the core of how work gets done.
Our clients aren’t just upgrading technology. They are rethinking workflows, activating governed AI, and designing environments where humans and intelligent systems work side by side.
We believe meaningful transformation happens when strategy, data, design, and engineering move together. Siloed initiatives don’t scale. Real progress requires clarity of vision, strong data foundations, responsible governance, and disciplined execution.
Our teams bring deep industry expertise, human-centered design, and advanced data and cloud capabilities to architect secure, scalable solutions built for real-world complexity. From modern data platforms to AI-enabled workflows and enterprise automation, we help organizations move from experimentation to measurable impact.
We thrive in change and move from blank slate to working systems. We care deeply about outcomes, trust, and building long-term partnerships.
We don’t just implement technology. We help design the future of work.
The Role
HIKE2 is hiring a senior Master Data Management Engineer for its data and integration practice. You will architect and build resolved identity and relationship foundations for financial services clients.
Own the end-to-end MDM and relationship-graph architecture on an engagement, from data modeling through integration, data quality, and governance.
Design and configure match and merge logic, survivorship and trust rules, validation rules, and golden-record management.
Build entity resolution, the golden record, and the graph, along with the pipelines that feed them and syndicate trusted master data back to consuming systems.
Establish the data-quality baseline and the survivorship and stewardship operating model, including steward workflows and issue queues.
Define the identity seam between the client identity platform and the MDM layer, turning an authenticated claim into a resolved party.
Set engineering standards, document a repeatable delivery approach, and mentor and grow a small team.
Collaborate with data governance, CRM and source-system owners, and business stakeholders, and translate complex MDM concepts for both technical and non-technical audiences.
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