Data Architect, Azure

The Clorox Company

. Define and evolve enterprise data architecture standards, reference architectures, and solution patterns .

Posted 10/13/2026full-timeUnited StatesSeniorLead💰 $109,400 - $258,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and implementing enterprise-scale cloud data platforms using Azure technologies, with a strong focus on data architecture, governance, and advanced analytics. Proven ability to lead architecture transformation initiatives and collaborate effectively with cross-functional teams to deliver scalable and secure data solutions.

Highest-signal resume keywords

Data ArchitectureMicrosoft AzureData GovernancePythonCI/CD Pipelines

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringEnterprise Data ArchitectureData ModelingAutomationData QualityData SecurityMetadata ManagementDomain-Driven DesignAdvanced AnalyticsData Mesh

Soft Skills

Stakeholder InfluenceTechnical CommunicationCollaboration

Tools & Technologies

Microsoft FabricDatabricksPower BIAzure Data FactoryDelta LakeADLS

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Information SystemsBachelor's Degree in Engineering

Industry Keywords

Cloud Data PlatformsData Architecture StandardsData ProductsAnalytics SolutionsInfrastructure as Code

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Define and evolve enterprise data architecture standards, reference architectures, and solution patterns
Design scalable, secure, and governed data architectures supporting analytics, reporting, AI, and operational use cases
Establish architectural guardrails and best practices across data platforms, data products, and analytics solutions
Drive enterprise data modernization initiatives and recommend emerging technologies, patterns, and capabilities
Design and govern cloud-based data platforms built on Azure technologies
Lead architecture efforts involving Microsoft Fabric, Azure Data Services, Databricks, Power BI, and related technologies
Define architecture patterns for ingestion, transformation, storage, semantic modeling, and consumption
Improve platform scalability, performance, reliability, security, and cost efficiency
Design conceptual, logical, and physical data models and govern enterprise semantic layers
Develop architecture strategies enabling AI, machine learning, and advanced analytics
Partner with business, analytics, product, engineering, AI, and technology teams to translate requirements into architecture solutions
Provide architecture reviews and technical consultation
Collaborate with platform vendors, managed service providers, and operational teams on design, implementation, deployment, support, and roadmaps
Define operational processes, monitoring approaches, support models, and handoff procedures
Create architecture documentation, runbooks, and operational guidance
Guide CI/CD practices and promote Infrastructure as Code, Architecture as Code, Spec-Driven Development, and automation-first approaches
Validate architectures through prototyping and technical implementation activities
Support engineering teams in implementing architecture standards and modern development practices

Requirements

What you’ll need

8+ years of experience in Data Architecture, Data Engineering, Analytics Architecture, or related disciplines
Proven success designing and implementing enterprise-scale cloud data platforms and solutions
Deep expertise in enterprise data architecture, data products, data mesh, and domain-driven design principles
Strong knowledge of data governance, metadata management, data quality, master data, and data security architectures
Hands-on experience with Microsoft Azure, Microsoft Fabric, Databricks, Delta Lake, Azure Data Factory, ADLS, and Power BI
Experience developing conceptual, logical, and physical data models, including dimensional, enterprise, canonical, and semantic models
Strong understanding of metadata, lineage, and semantic layer design strategies
Advanced proficiency in Python, SQL, automation, and modern data engineering practices
Experience with DevOps, CI/CD pipelines, Git-based development, and software engineering best practices
Knowledge of Infrastructure as Code, Architecture as Code, Policy as Code, platform engineering, and related automation frameworks
Demonstrated ability to influence executive stakeholders and communicate complex technical concepts to business audiences
Proven track record leading enterprise-wide architecture transformation initiatives while balancing strategic vision with hands-on execution
Experience partnering with business leaders, software vendors, consulting organizations, and managed service providers
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Benefits

Comp & perks

Comprehensive health plans
Market-leading 401(k) program with a company match
Flexible time off benefits
Half-day summer Fridays depending on location
Inclusive fertility/adoption benefits
Incentive plan participation