Data Architect - Enterprise Assessment

Job Title: Data Architect – Enterprise Assessment Location: Trinidad (Onsite) Job Type: Freelancing Experience:10+ years Job Summary: We are seeking an experienced Data Architect to perform enterprise-wide data assessments from a landscape standpoint. The ideal candidate will have a strong functional understanding of enterprise data ecosystems, expertise in data analysis, and experience with MS Dynamics, SAP, Power Automate, and Power BI. Key Responsibilities:

• Conduct enterprise-level data assessments, identifying inefficiencies and optimization opportunities.
• Evaluate the existing data landscape, including architecture, governance, integration, and security frameworks.
• Analyze data structures, flows, and dependencies to provide actionable recommendations.
• Work with MS Dynamics, SAP, Power Automate, and Power BI to assess and optimize enterprise data processes.
• Collaborate with business and IT teams to align data strategies with organizational objectives.
• Develop a roadmap for data modernization, including cloud migration, data warehousing, and data lake strategies.
• Ensure data governance, compliance, and security best practices are followed.
• Provide insights to improve data-driven decision-making across the organization.
• Work closely with stakeholders to define and implement data management best practices.

• 7+ years of experience in data architecture, enterprise data management, or data analysis.
• Proven experience in conducting enterprise-wide data assessments from a landscape perspective.
• Strong knowledge of data modeling, ETL processes, data warehousing, and cloud data platforms (AWS, Azure, GCP).
• Hands-on experience with MS Dynamics, SAP, Power Automate, and Power BI.
• Expertise in data governance, metadata management, and data cataloging.
• Proficiency in SQL, Python, or other data transformation tools.
• Familiarity with big data technologies, API-based integrations, and data analytics frameworks.
• Strong understanding of business processes and how data supports enterprise operations.
• Excellent communication skills to translate technical insights into business recommendations.

• Experience in industries such as finance, healthcare, retail, or manufacturing.
• Knowledge of AI/ML-driven data analytics and enterprise applications.
• Certifications in Data Architecture, Cloud Platforms, or Data Governance (e.g., TOGAF, DAMA, AWS/Azure Data Certifications).

• Opportunity to lead enterprise data transformation initiatives.
• Work with cutting-edge data technologies in a dynamic environment.
• Competitive freelance compensation and professional growth opportunities.