Senior Domain Architect - Data Management
New
J
JobgetherData Management
Based in United StatesFull-TimeSenior
Salary$129,000–$210,000 annually
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Job Details
- Languages
- Spanish (preferred)
- Experience
- 6+ years
- Required Skills
- PythonSQLETLData engineeringRESTful APIs
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, IT, or a related field.
- 6+ years of professional experience in technical customer-facing roles like Solution Architecture or Technical Customer Success.
- Strong expertise in data management, data engineering, data warehousing, ETL processes, SQL, and enterprise data architectures.
- Experience integrating or managing SaaS applications and enterprise systems (e.g., accounting, finance, audit, risk, compliance, sustainability).
- Experience with ERP, EPM, and analytics platforms such as Oracle, Workday, SAP, Snowflake, Power BI, Anaplan, or Databricks.
- Experience with integration technologies like Informatica, Boomi, MuleSoft, or Workato.
- Strong knowledge of APIs (REST, SOAP), data formats (JSON, XML), and hands-on API execution through scripting.
- Proficiency in Python for scripting and automation.
- Foundational knowledge of cloud platforms and modern data architectures.
- Excellent troubleshooting, analytical, and problem-solving skills.
- Effective verbal and written communication skills for executive-level presentations.
- Native or executive-level Spanish proficiency is preferred.
Responsibilities
- Partner directly with customers to translate business objectives and regulatory requirements into scalable data management solutions.
- Support the transition from pre-sales into implementation and ongoing customer engagements to ensure continuity.
- Collaborate with internal stakeholders to deliver effective onboarding and implementation experiences.
- Recommend data architectures, integrations, and workflows to improve efficiency, accuracy, and adoption.
- Design and review data integration workflows connecting enterprise applications with the data management platform.
- Develop and review analytical workflows and coaching stakeholders on data management best practices.
- Create and maintain documentation for deployed solutions, configurations, and processes.
- Gather and communicate actionable feedback to Product Development teams.
- Monitor customer environments to provide proactive technical guidance.
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