Define and maintain the enterprise data architecture roadmap, including data models, data flows, master data management strategies, and data governance frameworks across ERP, HCM, ITSM, CRM, and corporate platforms.
Design and implement data integration patterns, including API-first data services, event-driven data pipelines, real-time data synchronization, change data capture (CDC), and ETL/ELT architectures across finance, HR, customer, and operational data domains.
Develop and enforce enterprise data modeling standards, including conceptual, logical, and physical data models for transactional, analytical, and master data stores.
Architect master data management (MDM) solutions for critical data domains: customer master, vendor master, employee master, product/SKU master, chart of accounts, and cross-functional reference data.
Design the enterprise data warehouse and lakehouse architecture, including dimensional modeling, data vault methodologies, and real-time analytics layers that support business intelligence (Tableau) and advanced analytics use cases.
Collaborate with Marketing, GTM, Finance, HR, Legal, Customer Experience, IT Operations, and Procurement teams to understand data requirements, define data contracts, and deliver scalable data solutions that drive operational efficiency and analytics capabilities.
Establish and govern data quality frameworks, including data profiling, validation rules, lineage tracking, data cataloging, and metadata management across all enterprise systems.
Define data governance policies, data stewardship models, and data classification standards, ensuring compliance with SOX, GDPR, SOC 2, and other regulatory frameworks for financial, employee, and customer data.
Evaluate emerging data technologies, including AI/ML-powered data quality tools, knowledge graphs, data fabric/data mesh architectures, automated data cataloging, and intelligent data pipeline orchestration.
Participate in vendor assessments and build vs. buy decisions for data platforms, integration tools, MDM solutions, and analytics infrastructure, with a focus on total cost of ownership and data capability maturity.
Guide cross-functional delivery teams on data architecture for complex business processes, including Quote-to-Cash, Procure-to-Pay, Hire-to-Retire, and Record-to-Report, ensuring consistent data definitions and seamless data flows.
Support data architecture for modernization initiatives, including ERP migrations, legacy data consolidation, M&A data integration, and data replatforming efforts.

Requirements

10+ years of data architecture experience with deep focus on enterprise data management across Finance, HR, GTM, Procurement, or IT Service Management domains.
Deep expertise in data modeling methodologies (dimensional modeling, data vault, 3NF) and hands-on experience designing data architectures for major enterprise platforms including ERP (Oracle EBS & Fusion), HCM, ITSM, and CRM systems.
Strong understanding of data flows within core business processes, including Financial Planning & Analysis, General Ledger & Close, Accounts Payable/Receivable, Revenue Operations, Payroll, Benefits Administration, Talent Management, and Procurement Operations.
Proven experience with data integration platforms (Dell Boomi), iPaaS solutions, API management, CDC tools, and enterprise data pipeline orchestration.
Demonstrated expertise in data warehousing, data lakehouse architectures, business intelligence platforms (Tableau), and analytics data modeling strategies.
Strong knowledge of data governance, data quality management, metadata management, and data cataloging tools and practices.
Deep understanding of data compliance and regulatory requirements, including SOX data controls, GDPR data privacy, SOC 2 data security, financial reporting data standards, and HR data privacy regulations.
Demonstrated ability to influence stakeholders and build consensus on data standards, governance policies, and architectural decisions across Finance, HR, Legal, and IT organizations.
Excellent communication skills with the ability to articulate data architecture concepts to business executives and translate business data requirements into scalable technical solutions.

Benefits

Incentive compensation
Bonus
Restricted stock units
Health insurance
Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdimensional modelingdata vault3NFdata integrationETLELTdata warehousingdata lakehouse

Soft Skills

influence stakeholdersbuild consensusexcellent communication