• Join phData, a dynamic and innovative leader in the modern data stack. • Partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. • Help global enterprises overcome their toughest data challenges.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Seeking an experienced Report Data Architect to design and maintain enterprise reporting data models and architecture frameworks supporting KPIs, dashboards, operational reporting, and advanced analytics. This role will collaborate closely with enterprise architects, data engineers, reporting teams, and business stakeholders to develop scalable data solutions aligned with modernization initiatives and governance standards. Key Responsibilities - Data Architecture & Modeling - Design and maintain reporting data models, including: - Fact and dimension structures - Star and snowflake schemas - Semantic layers - Reporting datasets - Define and document data architecture standards and best practices - Translate business requirements into scalable reporting data structures - Design data flows to support ETL/ELT processes - Ensure reporting models support business KPIs and analytics needs - Collaboration & Governance - Partner with IT, business, governance, and reporting teams to align data strategy - Ensure consistent KPI definitions, metrics, and calculations across the organization - Establish and enforce governance standards including: - Naming conventions - Metadata standards - Documentation requirements - Support security, privacy, and regulatory compliance initiatives - Provide mentorship to report developers and analysts - Reporting & BI Enablement - Support creation of reusable data assets for BI tools such as Power BI and similar platforms - Work with business units to define reporting and analytical goals - Ensure data accuracy, consistency, and integrity across reporting environments - Troubleshoot complex data issues and provide architectural guidance Qualifications - 8+ years strong experience in data modeling (star schema, snowflake schema, semantic modeling) - 6+ years hands-on experience with enterprise reporting platforms (Power BI, Tableau, SSRS, or similar) - 8+ years translating business requirements into technical data structures - 8+ years interpreting data models, data dictionaries, and technical documentation - 6+ years familiarity with KPI design, business metrics, and analytical methodologies - 4+ years knowledge of data governance frameworks and metadata management - 6+ years experience working in fast-paced environments, meeting project deadlines, and exercising sound judgment - 2+ years strong interpersonal and conflict resolution skills, including negotiation and cross-functional collaboration - Advanced proficiency with Microsoft Office tools (Word, Excel, PowerPoint, Visio, SharePoint) Requirements - 3+ years familiarity with mainframe systems (IMS, COBOL files, JCL, batch processes) - 2+ years knowledge of local, state, and federal data governance and privacy regulations (PII) - 5+ years experience supporting legacy-to-modern system migration initiatives - Experience leading data-focused modernization projects

• Meet with onboarding clients to assess data strategy, requirements, and expectations for migration. • Analyze client source systems and create detailed data maps into the Practifi data model. • Collaborate closely with Data Engineers to design and execute scalable migration strategies. • Functionally QA and validate data after loading to ensure accuracy, integrity, and completeness. • Build and maintain data migration best practices, documentation, and repeatable frameworks. • Partner with Project Managers, Implementation Consultants, and other stakeholders to ensure migrations align with overall project scope and timelines. • Execute templated data loads using Salesforce Inspector

• Design and architect scalable Azure-based data solutions. • Work extensively with Microsoft Azure, including Azure Data Factory and related data services. • Support and guide implementation within Microsoft Fabric environments. • Develop and optimize data pipelines, ETL/ELT processes, and data models. • Collaborate on reporting and analytics solutions using Power BI. • Provide architectural guidance, best practices, and mentorship (Fabric trainee-level support as needed). • Participate in a monthly onsite session (~2 hours) in Southern California.