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Senior Domain Architect- Data Management [Remote]

$129k - $210k
Full-time

jobgether

United States
  • Remote job

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Domain Architect – Data Management based in United States.

This senior-level role combines data management expertise, solution architecture, and customer engagement to help organizations achieve measurable value from complex data environments.
You will act as a trusted technical advisor, partnering with customers and internal teams from onboarding and implementation through adoption and long-term success.
The position requires a strong understanding of data integration, automation, enterprise systems, analytics, and modern cloud architectures.
You will translate business and regulatory requirements into scalable, efficient, and reliable technology solutions.
Working across Sales, Engineering, Consulting, Customer Success, and Partner Experience, you will help create cohesive customer journeys and successful outcomes.
The role offers significant exposure to executive stakeholders and opportunities to influence product direction through customer insights and technical expertise.
It is ideal for an experienced architect or consultant who enjoys solving complex data challenges while building lasting customer relationships.

Accountabilities:

  • Partner directly with customers to understand business objectives, data requirements, technical environments, and desired outcomes, translating these needs into scalable data management solutions.
  • Support the transition from pre-sales activities into implementation and ongoing customer engagements, ensuring continuity and alignment across teams.
  • Collaborate with Solution Architects, Customer Success, Partner Experience, and consulting teams to deliver a consistent and effective onboarding and implementation experience.
  • Analyze customer environments and recommend appropriate data management capabilities, architectures, integrations, and workflows to improve accuracy, efficiency, scalability, and adoption.
  • Define and contribute to project plans, implementation activities, technical tasks, and delivery milestones in collaboration with consulting and project stakeholders.
  • Design, review, and establish data integration workflows connecting enterprise applications and customer systems with the data management platform.
  • Develop and review data queries, reporting solutions, and analytical workflows while coaching internal and external stakeholders on data management best practices.
  • Lead knowledge-sharing sessions with customer and partner application owners to promote technical self-sufficiency and long-term solution adoption.
  • Create and maintain clear documentation covering deployed solutions, configurations, data management capabilities, processes, and recommended practices.
  • Gather customer and partner feedback and communicate actionable insights to Product Development and Product Management teams.
  • Monitor customer environments and remain informed about product capabilities and roadmap developments to provide proactive technical guidance and support.
  • Partner with customer-facing teams to define success criteria, demonstrate realized value, strengthen adoption, and contribute to long-term customer health.
  • Build credibility with technical and executive stakeholders, facilitate alignment across functions, and serve as a trusted advisor throughout the customer lifecycle.

Requirements:

  • Hold a bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.
  • Bring 6+ years of relevant professional experience in customer-facing technical roles, preferably in Technical Customer Success, Solution Architecture, consulting, or a similar environment.
  • Demonstrate strong expertise in data management, data engineering, data warehousing, ETL processes, SQL, and enterprise data architectures.
  • Have experience integrating or managing SaaS applications and enterprise systems, particularly in areas such as accounting, finance, audit, risk, compliance, or sustainability.
  • Understand complex and regulated data structures and be able to translate regulatory and business requirements into scalable, software-driven workflows.
  • Bring experience with enterprise platforms such as ERP, EPM, data, and analytics solutions, including technologies such as Oracle, Workday, SAP, Sage, Snowflake, Power BI, Planful, Anaplan, Databricks, BigQuery, Redshift, or Azure Synapse.
  • Have experience with integration technologies such as Informatica, SSIS, Boomi, MuleSoft, or Workato.
  • Demonstrate strong knowledge of APIs, including REST and SOAP, JSON/XML formats, and hands-on API execution through scripting.
  • Have experience with Python for scripting and automation; additional programming or automation expertise is advantageous.
  • Possess foundational knowledge of cloud platforms and modern data architectures.
  • Demonstrate excellent technical troubleshooting, analytical, and problem-solving skills, with strong attention to detail and the ability to manage priorities independently.
  • Communicate effectively in writing and verbally, including the ability to deliver presentations and explain complex technical concepts to executive-level stakeholders.
  • Build trust and credibility quickly, influence stakeholders effectively, and drive alignment across technical and business teams.
  • Demonstrate a strong customer-success mindset and commitment to creating measurable, long-term value.
  • Native or executive-level Spanish proficiency is preferred.
  • Be comfortable working remotely with reliable internet access and traveling approximately 15% for internal meetings.

Benefits:

  • Competitive U.S. salary range of $129,000–$210,000 annually , with the actual offer based on location, skills, qualifications, experience, and other relevant factors.
  • Discretionary annual bonus opportunity.
  • Restricted Stock Units granted at the time of hire.
  • 401(k) matching.
  • Comprehensive employee benefits package.
  • Remote or office-based flexibility, allowing employees to work where they are most effective within their country of employment.
  • Approximately 15% travel for internal meetings.
  • Opportunities to work on complex data, technology, risk, finance, and compliance challenges with significant business impact.
  • Collaborative environment with exposure to customers, partners, technical teams, and executive stakeholders.
  • Opportunities to influence product development through customer insights and technical expertise.
  • Reasonable accommodations available for qualified applicants with disabilities.
  • Commitment to an inclusive workplace where diverse perspectives and backgrounds are valued.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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