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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