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Lead Data Modeler

intersystems · Boston, MA · Boston, MA
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<p><span data-contrast="auto">We are looking for a highly motivated, systems-oriented Lead Data Modeler to own the design, governance, and evolution of our data warehouse at InterSystems.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">This role sits at the center of our data lake / data warehouse initiative and will be responsible for defining how data is structured, understood, and used across the organization. You will work closely with Data Engineering, Sales Tech, CRM, Marketing Technology, and business stakeholders to translate fragmented legacy CRM and operational systems into a unified, scalable data model.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">This is a hands-on role requiring strong SQL and data analysis skills, with an emphasis on data modeling, source-to-target mapping, and cross-system reconciliation. You will not primarily build ingestion pipelines, but you will define exactly how data should flow, transform, and be represented - serving as the source of truth for all downstream analytics and applications.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">In addition to modeling, this role will own core aspects of data governance, user access design, user support, and internal data warehouse administration within InterSystems.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p> <p><strong><span data-contrast="auto">Key Responsibilities</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <ol> <li data-leveltext="%1." data-font="Times New Roman" data-listid="14" data-list-defn-props="{"335552541":0,"335559685":720,"335559991":360,"469769242":[65533,0],"469777803":"left","469777804":"%1.","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Data Modeling & Architecture Ownership</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ol> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Design and maintain conceptual, logical, and physical data models across the data lake / warehouse.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Define canonical data definitions, relationships, and business logic across fragmented legacy systems.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Build scalable, extensible models that reduce redundancy and support analytics, reporting, and operational workflows.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Establish modeling standards, naming conventions, and documentation practices across the platform.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Continuously refine models as new data sources and use cases emerge.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> </ul> <ol> <li data-leveltext="%1." data-font="Times New Roman" data-listid="14" data-list-defn-props="{"335552541":0,"335559685":720,"335559991":360,"469769242":[65533,0],"469777803":"left","469777804":"%1.","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Source-to-Target Mapping & Da

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