Technical Architect – Enterprise Data

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Job Description:

  • Define enterprise data architecture across Microsoft Fabric, Data Lake, EDW, and analytics platforms
  • Design integration patterns for ingestion, transformation, and consumption
  • Create architectural flows and reference models
  • Establish standards for data modeling, metadata, lineage, and governance
  • Implement data validation, logging, monitoring, lineage, and RBAC
  • Ensure compliance with enterprise security, confidentiality, and regulatory standards
  • Drive platform cost optimization, performance tuning, and operational excellence
  • Enforce architectural governance and adherence to standards
  • Collaborate with business stakeholders and source system teams to 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 defining testing strategies
  • Ensure delivered solutions align with business needs and architectural intent
  • Integrate AI/ML models and GenAI capabilities into data products and workflows
  • Evaluate emerging technologies and recommend adoption strategies
  • Guide teams on responsible AI usage 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 strategy for data and integration platforms
  • Identify architectural risks and ensure disaster recovery and continuity considerations
  • Design continuity across ERP, CRM, Data Lake, Fabric, and analytics systems
  • Ensure teams can recover systems and execute continuity plans
  • Ensure continuity plans meet audit and security requirements
  • Set vendor expectations for process adherence, development methodology, documentation, and delivery timelines
  • Establish quality gates, review cycles, and acceptance criteria for vendor deliverables
  • Conduct vendor checkpoints to monitor progress, identify risks, and ensure alignment
  • Provide technical guidance to vendor engineers

Requirements:

  • 10+ years in enterprise solution architecture, data engineering, and software development
  • Degree preferably in Computer Science, Information Technology, Management Information Systems, or Accounting
  • Proven experience designing end-to-end integrations, data platforms, and automation for large enterprise environments
  • Strong hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystem
  • Deep experience with Power BI semantic models, datasets, dashboards, and reporting
  • Advanced proficiency in DAX, Power Query, SQL, Python, and PySpark
  • Demonstrated experience architecting ETL/ELT pipelines integrating diverse data sources into Azure Data Lake and EDW
  • Strong understanding of data modeling, normalization, metadata management, and enterprise data security
  • Exposure to AI/ML, Copilot, GenAI, LLMs, prompt engineering, and AI API integration
  • Familiarity with 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
  • Work-life balance
  • Inclusive and diverse work environment
  • Equal opportunity employment
  • Confidential handling of employee information
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