Technical Architect (Enterprise Data)

• Define Enterprise Data Architecture across 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 for new and existing features
• 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
• The architect defines the continuity strategy for all data and integration platforms, not just implements it
• Proactively identifies architectural risks (single points of failure, dependency bottlenecks, and data corruption risks)
• Ensures every solution includes DR, and continuity considerations from day one—not bolted on later
• Designs continuity across ERP, CRM, Data Lake, Fabric, and analytics systems, ensuring business processes remain functional even during partial outages
• Ensures teams know how to recover systems, where documentation lives, and how to execute continuity plans
• Ensures continuity plans meet audit, and security requirements
• Define clear standards for process adherence, development methodology, documentation, and delivery timelines for all vendor led work
• Establish quality gates, review cycles, and acceptance criteria to ensure vendor deliverables meet architectural and coding standards
• Conduct regular checkpoints with vendor teams to monitor progress, identify risks, and ensure alignment with enterprise architecture principles
• Provide technical guidance to vendor engineers to ensure solutions are scalable, secure, and compliant with enterprise patterns
• Who You’ll Work With
• The Technical Architect - Enterprise Data is responsible for defining, governing, and delivering scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems
• This role provides architectural leadership, ensures alignment with enterprise standards, and guides engineering teams in implementing highquality, secure, and performant solutions
• The architect partners with business stakeholders, data teams, systems and security team and application owners to translate requirements into technical & functional blueprints and
• Longterm platform roadmaps. The role will report to the IT Applications team and will work with key IT stakeholders

Benefits

• Regular ”Snack Bash” Social Events with food and drinks!
• Biweekly Wellness webinars plus regular Wellness Week events focused on physical, mental, spiritual and financial wellness as well as career development and social activities
• Arista Gives Back: Employee Engagement Giving Drives and Volunteer events
• Medical, Dental & Vision Plan Coverage
• Life Insurance, AD&D, STD & LTD
• Flex Spending Accounts
• Employee Assistance Programs
• PTO & Paid holidays
• 401k Plan
• On-site Gym & Showers
• Secured Bike Lockers
• Secured Bike Lockers
• Flexible hours
• Employee Assistance Benefits that include mental health and backup child and elder care support
• Discounted lunches through WeBox for HQ employees
• Family planning benefits

• Familiarity with SDLC, software quality practices, Jira, Git, CI/CD
• Experience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA)
• Deep experience with Power BI semantic models, datasets, dashboards, and reporting
• Strong understanding of data modeling, normalization, metadata management, and enterprise data security
• Excellent communication, stakeholder management, and problem solving skills
• Strong hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystem
• Proven experience designing endtoend integrations, data platforms, and automation for large enterprise environments
• 10+ years in enterprise solution architecture, data engineering, and software development
• Degree preferably in Computer Science, Information Technology, Management Information Systems, or Accounting
• Exposure to AI/ML, Copilot, GenAI, LLMs, prompt engineering, and AI API integration
• Demonstrated experience architecting ETL/ELT pipelines integrating diverse data sources into Azure Data Lake and EDW
• Advanced proficiency in DAX, Power Query, SQL, Python, and PySpark