Technical Architect – Enterprise Data

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

📋 Description

• Define the enterprise data architecture encompassing Microsoft 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, lineage, and governance.

• Implement data validation, logging, monitoring, lineage, and RBAC.

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

• Drive optimization of platform costs, enhance performance, and promote operational excellence.

• Enforce architectural governance and compliance with established standards.

• Collaborate with business stakeholders and teams from source systems to grasp data requirements.

• Convert business needs into technical specifications and architectural roadmaps.

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

• Assist QA and functional teams in outlining testing strategies.

• Ensure that delivered solutions align with business requirements and architectural objectives.

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

• Assess emerging technologies and suggest adoption strategies.

• Guide teams on responsible AI utilization and integration patterns.

• Conduct root cause analysis for data-related issues and identify areas for improvement.

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

• Define continuity strategies for data and integration platforms.

• Identify architectural risks and ensure considerations for disaster recovery and continuity.

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

• Ensure teams can restore systems and implement continuity plans.

• Ensure that continuity plans satisfy audit and security requirements.

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

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

• Conduct vendor checkpoints to track progress, identify risks, and ensure consistency.

• Provide technical guidance to vendor engineers.

⛳️ Requirements

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

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

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

• Strong hands-on experience with 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 diverse data sources into Azure Data Lake and EDW.

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

• Familiarity with AI/ML, Copilot, GenAI, LLMs, prompt engineering, and AI API integration.

• Knowledge of 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 abilities.

🏝️ Benefits

• Remote work opportunities.

• Work-life balance.

• An inclusive and diverse work environment.

• Equal opportunity employment.

• Confidential handling of employee information.