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Technical Architect – Enterprise Data
Arista NetworksTechnical Architect designing enterprise data architecture for Arista Networks. Leading integration architecture initiatives while ensuring compliance with enterprise standards.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in defining and implementing Enterprise Data Architecture, including Data Lake, EDW, and analytics platforms, while ensuring compliance with security and regulatory standards. Proficient in designing integration patterns and managing data quality, governance, and performance optimization across large enterprise environments.
Highest-signal resume keywords
Enterprise Data ArchitectureMicrosoft FabricData LakePower BIETL/ELT Pipeline Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DAXPower QuerySQLPythonPySparkData ModelingMetadata ManagementAI/ML IntegrationETL/ELTData Governance
Soft Skills
CommunicationStakeholder ManagementProblem-Solving
Tools & Technologies
Microsoft EcosystemAzure Data LakeJiraGitCI/CDSaaSCloud ERPCloud CRM
Industry Keywords
Data ArchitectureData EngineeringSoftware DevelopmentEnterprise SolutionsRegulatory Compliance
Tech Stack
Tools & technologiesAzureCloudERPETLPySparkPythonSDLCSQL
About the role
Key responsibilities & impact- 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.
- Define the continuity strategy for all data and integration platforms, not just implement it.
- Proactively identify architectural risks.
Requirements
What you’ll need- 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, CI/CD.
- Experience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA).
- Excellent communication, stakeholder management, and problem-solving skills.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Paid time off
- Flexible working hours
- Professional development opportunities