Technical Architect (Enterprise Data)

Arista; Texas; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Regular snacks and social events

Wellness programs and health coverage

401k plan with company match

On-site gym and show ers

Flexible hours

Job summary

Arista is seeking a Senior Technical Architect - Enterprise Data to lead the architecture of our data platforms across Microsoft Fabric, Azure, and core business systems. You will define standards for data modeling, metadata, lineage, and governance, while driving integration patterns, reliability, and security.

The role involves partnering with data teams, security, and application owners to translate requirements into scalable blueprints.

Qualifications

• 10+ years in enterprise solution architecture, data engineering, and software development
• Experience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA)
• Strong hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines and Microsoft ecosystem
• Exposure to AI/ML, GenAI, and AI API integration
• Demonstrated ability to design end-to-end integrations and data platforms for large enterprises
• Excellent communication and stakeholder management skills

Responsibilities

• Define Enterprise Data Architecture across Fabric, Data Lake, EDW, and analytics platforms
• Design integration patterns for ingestion, transformation, and consumption
• Create architectural reference models and governance standards
• Collaborate with business stakeholders to translate requirements into blueprints
• Guide engineering teams on scalable, secure, and compliant solutions
• Integrate AI/ML and GenAI into data products and workflows
• Establish continuity, DR, and security practices across data platforms
• Review vendor deliverables and enforce architectural governance

Skills

Microsoft Fabric

Power BI

Data modeling

SQL

Python

PySpark

GenAI

LLMs

Education

Bachelor's degree in CS/IT/MIS

Tools

Jira

Git

CI/CD

Azure DevOps

Power BI

Job description

• 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/CDExperience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA)Deep experience with Power BI semantic models, datasets, dashboards, and reportingStrong understanding of data modeling, normalization, metadata management, and enterprise data securityExcellent communication, stakeholder management, and problem solving skillsStrong hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystemProven experience designing endtoend integrations, data platforms, and automation for large enterprise environments10+ years in enterprise solution architecture, data engineering, and software developmentDegree preferably in Computer Science, Information Technology, Management Information Systems, or AccountingExposure to AI/ML, Copilot, GenAI, LLMs, prompt engineering, and AI API integrationDemonstrated experience architecting ETL/ELT pipelines integrating diverse data sources into Azure Data Lake and EDWAdvanced proficiency in DAX, Power Query, SQL, Python, and PySpark