Interactive Resources - iR ยท 1 day ago
Lead Data Architect
Interactive Resources - iR is seeking a Lead Data Architect to drive the design and implementation of their enterprise data architecture. The role focuses on Azure Data Lake and Lakehouse architecture, ensuring alignment with enterprise standards while delivering scalable, high-quality data solutions for financial services.
Human ResourcesInformation Technology
Responsibilities
Define and own the enterprise data architecture strategy, standards, and patterns
Lead the design and implementation of Azure-based Lakehouse architecture leveraging Azure Data Lake, Databricks, Delta Lake, and related services
Serve as the data design authority, governing data models, integration patterns, metadata management, and data quality standards
Architect and implement Master Data Management (MDM) solutions, preferably with Profisee
Collaborate with stakeholders, engineers, and analysts to translate business requirements into scalable architecture and data models
Ensure alignment with data governance, security, and compliance frameworks
Provide technical leadership in data design, ETL/ELT best practices, and performance optimization
Partner with enterprise and solution architects to integrate data architecture with application and cloud strategies
Mentor and guide data engineers and modelers, fostering a culture of engineering and architecture excellence
Qualification
Required
10+ years of experience in data architecture, data engineering, or related fields, with 5+ years in a lead/architect capacity
Strong expertise in Azure Data Lake, Databricks, Delta Lake, and Lakehouse architecture
Hands-on experience architecting and implementing MDM solutions (Profisee strongly preferred)
Deep knowledge of data modeling (conceptual, logical, physical) and metadata management
Experience as a data design authority across enterprise programs
Strong understanding of financial services data domains (clients, accounts, portfolios, products, transactions) and regulatory needs
Proficiency in SQL, Python, Spark, and modern ELT/ETL tools
Familiarity with data governance, lineage, cataloging, and data quality tools
Excellent communication and leadership skills to engage with senior business and technology stakeholders
Preferred
Experience with real-time data streaming (Kafka, Event Hub)
Exposure to BI/Analytics platforms (Power BI, Tableau) integrated with Lakehouse
Knowledge of data security and privacy frameworks in financial services
Cloud certification in Microsoft Azure Data Engineering/Architecture
Benefits
Comprehensive health, vision, and dental coverage
401(k) plans plus a variety of voluntary plans such as legal services, insurance, and more