Dayforce · 2 days ago
Sr. Data Architect
Dayforce is a global human capital management company seeking a Senior Data Architect to design and optimize their enterprise data architecture. This strategic role involves leading the data ecosystem's design and governance, collaborating across technology and business functions to foster a data-driven culture and support cloud transformation.
Computer Software
Responsibilities
Lead the design, development, and implementation of scalable enterprise data architectures
Establish and enforce data modeling, integration, and engineering standards across the organization
Partner with business and technical stakeholders to define the long-term data strategy aligned with enterprise goals
Conduct research on emerging technologies, tools, and industry trends to drive continuous innovation
Architect and manage modern data platforms—leveraging cloud-native services for performance, reliability, and scalability
Develop and optimize data models, schemas, and pipelines to support analytics, reporting, and AI/ML initiatives
Oversee data integration patterns (batch, streaming, API-led) to ensure consistent and accurate data flow
Evaluate, recommend, and select platform components and tools for enterprise data management
Define and implement data governance, quality, and security frameworks to ensure data integrity and compliance
Monitor system performance and proactively optimize configurations, pipelines, and storage for efficiency
Diagnose and resolve complex data performance, access, and consistency issues
Partner with Data Engineering, Analytics, and AI teams to enable data-driven decision-making
Collaborate with cross-functional teams to ensure data availability, protection, and alignment with business needs
Participate in the Architecture review board process and present new data initiatives
Contribute to knowledge sharing and mentoring within the Data & AI organization
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, or related field
7+ years of experience in data engineering, architecture, or data platform design roles
Proven experience leading or architecting cloud data modernization initiatives
Deep expertise across Azure Data Lake Storage (ADLS Gen2), Data Factory, Synapse, Microsoft Fabric, Databricks, Azure Machine Learning, and Azure AI Foundry
Proven experience provisioning, administering, and operating complex, large-scale cloud data platforms
Hands-on experience with Azure Functions, Web Apps, Static Web Apps, Container Apps, Azure Container Registry (ACR), Logic Apps, App Service Plans, and Azure Virtual Machines
Skilled in designing and managing cloud network architectures including VNets, DNS, NSGs, and private endpoints
Strong background in designing and building data pipelines, API-led architectures, and enterprise data models
Skilled in creating, maintaining, and optimizing end-to-end data solutions aligned with data warehousing best practices and scalability principles
Proficiency in SQL, Python, Spark, and KQL, with a focus on performance, scalability, and maintainability
Experienced in implementing RBAC and ABAC-based workload designs, Privileged Identity Management (PIM), and Just-in-Time (JIT) access controls
Adept at applying best practices for auditability, observability, and platform analytics in enterprise environments
Expertise in Power BI and Microsoft Fabric administration, with a deep understanding of Fabric architecture
Strong grasp of ML/AI capabilities and experience delivering end-to-end solutions on Fabric
Exposure to advanced AI solution patterns including vector embeddings, retrieval-augmented generation (RAG), multi-component pipelines (MCP), and agentic AI architectures
Hands-on experience managing enterprise projects, repositories, and user permissions
Building CI/CD pipelines using Azure Pipelines or GitHub Actions
Administering agent pools and service connections
Applies Site Reliability Engineering (SRE) principles for resilient and automated operations
Proven ability to deliver high-quality solutions in Agile and DevOps environments
Collaborating closely with cross-functional teams
Strong communication and stakeholder management abilities
Demonstrated ability to influence enterprise architecture and technical decisions
Consultative, collaborative, and growth-oriented mindset
Preferred
Master's degree in Computer Science, Information Systems, or related field
Familiarity with cloud ecosystems such as AWS and Google Cloud Platform (GCP)
Benefits
Excellent time away from work programs
Comprehensive wellness initiatives
Recognition through competitive pay and benefits
Volunteer days
Charity, Dayforce Cares
Company
Dayforce
Dayforce makes work life better.
H1B Sponsorship
Dayforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
Funding
Current Stage
Late StageLeadership Team
Company data provided by crunchbase