
51 - 200 funcionários
Fundada em 2011
🏢 Corporativo
☁️ SaaS
🤝 B2B
💰 GROWTH EQUITY VC em 2020-08
Enterprise • SaaS • B2B
A Semarchy é uma empresa de software corporativo que oferece soluções de master data management (MDM), integração de dados e governança de dados por meio da plataforma Semarchy xDM. A empresa ajuda organizações a unificar, limpar, governar e distribuir dados mestres e de referência essenciais — como dados de clientes, produtos e localizações — entre diferentes sistemas. Suas soluções B2B são normalmente implementadas on-premises ou na nuvem/SaaS e fornecidas a clientes e parceiros corporativos.
🕒 Outubro 30
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $135.000 - $170.000 / ano
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
💻 Engenheiro de Soluções
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Semarchy, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Outubro 30
Ainda aberta no site da Semarchy. Verificada 4 horas atrás.

51 - 200 funcionários
Fundada em 2011
🏢 Corporativo
☁️ SaaS
🤝 B2B
💰 GROWTH EQUITY VC em 2020-08
Enterprise • SaaS • B2B
A Semarchy é uma empresa de software corporativo que oferece soluções de master data management (MDM), integração de dados e governança de dados por meio da plataforma Semarchy xDM. A empresa ajuda organizações a unificar, limpar, governar e distribuir dados mestres e de referência essenciais — como dados de clientes, produtos e localizações — entre diferentes sistemas. Suas soluções B2B são normalmente implementadas on-premises ou na nuvem/SaaS e fornecidas a clientes e parceiros corporativos.
• Serve as the trusted technical partner for enterprise clients across their entire lifecycle • Articulate complex technical designs, trade-offs, and strategic data roadmaps to client architects, data leaders, and executive sponsors • Partner with Sales during discovery to perform feasibility assessments, scope use cases, estimate effort and timelines, and author Statements of Work • Recommend additional Semarchy product and service offerings aligned with customer technical trajectories • Lead enterprise MDM solution design, multi-domain data modeling, and hands-on deployment • Own architecture from match/merge configuration, trust scores, API integrations, and ETL/streaming pipelines through deployment, data stewardship workflows, and production go-live • Lead platform diagnostics, health checks, and complex data migration strategies from legacy/on-premises systems to cloud/SaaS • Act as senior escalation point for complex technical hurdles, collaborating with Product and Support teams • Provide technical direction to Solutions Engineers and Data Engineers during build and configuration phases • Contribute to reusable delivery assets, reference architectures, and pre-packaged service offerings • Leverage modern AI and generative AI tools to accelerate development workflows, optimize code, and streamline technical documentation
• 7+ years of hands-on experience in Solutions Architecture, Technical Consulting, or Senior Solutions Engineering with enterprise data platforms • Deep enterprise MDM expertise • Core delivery experience with Semarchy (xDM, SDP, xDI) preferred • Strong backgrounds in Informatica (IDMC/MDM Hub/MDM SaaS), Reltio, Profisee, Stibo, Ataccama, or TIBCO EBX highly valued • Successful delivery of multiple full-lifecycle enterprise MDM implementations • Deep expertise in data modeling, match tuning, survivorship rules, and workflow configuration • Strong proficiency in SQL, Java, Linux, REST/SOAP APIs, and cloud deployment topologies (AWS, Azure, GCP) • Exceptional written and verbal communication skills • Professional services commercial awareness, including margin, scoping boundaries, and delivery momentum • Strong understanding of data quality management, including standardization, validation, and enrichment rules, within MDM • Prior experience at a Big 4 firm, systems integrator, or specialized data consultancy nice to have • Experience leading cloud or platform-to-platform MDM migrations nice to have • Cloud data platform certifications nice to have, including Snowflake SnowPro, AWS Data Analytics, Azure Data Engineer, and Google Professional Data Engineer • Industry experience in financial services, healthcare and life sciences, retail, manufacturing, or public sector nice to have • Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical discipline nice to have
• Variable incentive • Equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status • Inclusive work environment where all employees feel a sense of belonging and respect • Interview accommodations available upon request
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