Technical Architect – Enterprise Data

This is a fully remote position, open to applicants in Texas.

📋 Description

• Define the enterprise data architecture encompassing Fabric, Data Lake, EDW, and analytics platforms.

• Design integration patterns for data ingestion, transformation, and consumption.

• Develop architectural flows and reference models.

• Set standards for data modeling, metadata management, lineage, and governance.

• Implement data validation, logging, monitoring, lineage tracking, and role-based access control (RBAC).

• Ensure adherence to enterprise security, confidentiality, and regulatory standards.

• Drive cost optimization for platforms, enhance performance, and promote operational excellence.

• Enforce architectural governance and ensure compliance with established standards.

• Collaborate with business stakeholders and source system teams to gather and understand data requirements.

• Translate business needs into technical specifications and architectural roadmaps.

• Review user stories and provide architectural guidance to development teams.

• Support QA and functional teams in formulating testing strategies.

• Ensure that delivered solutions meet business needs and align with architectural intent.

• Integrate AI/ML models and Generative AI capabilities into data products and workflows.

• Assess emerging technologies and recommend strategies for adoption.

• Guide teams on the responsible use of AI and integration patterns.

• Conduct root cause analysis for data issues and identify opportunities for improvement.

• Manage platform reliability, data quality, and governance processes.

• Define continuity strategies for data and integration platforms.

• Identify architectural risks such as single points of failure, dependency bottlenecks, and data corruption risks.

• Design disaster recovery and continuity strategies across ERP, CRM, Data Lake, Fabric, and analytics systems.

• Ensure teams can execute continuity plans that meet audit and security requirements.

• Set expectations with vendors regarding process adherence, development methodologies, documentation, and delivery timelines.

• Establish quality gates, review cycles, and acceptance criteria for vendor deliverables.

• Conduct vendor checkpoints, monitor progress, identify risks, and ensure architectural alignment.

• Provide technical guidance to vendor engineers on scalable, secure, and compliant solutions.

• Report to the IT Applications team and collaborate with key IT stakeholders.

⛳️ Requirements

• Over 10 years of experience in enterprise solution architecture, data engineering, and software development.

• A degree, preferably in Computer Science, Information Technology, Management Information Systems, or Accounting.

• Proven track record in designing end-to-end integrations, data platforms, and automation in large enterprise settings.

• Strong hands-on expertise in Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystem.

• Extensive experience with Power BI semantic models, datasets, dashboards, and reporting.

• Advanced proficiency in DAX, Power Query, SQL, Python, and PySpark.

• Demonstrated experience in architecting ETL/ELT pipelines that integrate various data sources into Azure Data Lake and EDW.

• Strong comprehension of data modeling, normalization, metadata management, and enterprise data security.

• Exposure to AI/ML, Copilot, Generative AI, large language models (LLMs), prompt engineering, and AI API integration.

• Familiarity with the Software Development Life Cycle (SDLC), software quality practices, Jira, Git, and CI/CD.

• Experience with SaaS/Cloud ERP or CRM systems, such as NetSuite, Salesforce, or SAP S/4HANA.

• Excellent communication, stakeholder management, and problem-solving skills.

🏝️ Benefits

• Remote work; this role can be based anywhere in the United States.

• Equal opportunity employment.

• Confidential handling of applicant information in compliance with EEO guidelines.