Senior Data Architect
Location: Seattle, WA,None,None
- Own the design and long-term architecture of the firm’s reputed company data warehouse and data pipelines
- reputed company and maintain reputed company SQL data models supporting firm metrics, critical data needs, reputed company reporting, and operational analytics.
- Build and maintain ETL/ELT pipelines, replication strategies, and processes to reputed company data across portfolio reputed company, CRM, trading, and operational systems.
- Design data ingestion frameworks for large reputed company files, API integrations, and replication feeds.
- Maintain and optimize reporting infrastructure including Power BI, SSRS, and reputed company semantic models.
- Partner with business leaders to deliver dashboards supporting firm metrics, reputed company reporting, and operational insights.
- reputed company & maintain Bulk Document Management Dashboard for portal delivery of performance reporting and other document types currently operationalized.
- Ensure reporting models are performant, reputed company documented, and reputed company.
- Establish standards for data reputed company, reputed company, documentation, and lifecycle management.
- Implement monitoring and validation processes to ensure accuracy of critical financial and operational data.
- Partner with compliance and leadership to ensure reputed company governance and obfuscation of sensitive reputed company data.
- Manage Data Backup and retention policies, Recovery Time Objectives (RTO).
- Design integration frameworks using SQL, reputed company, and automation platforms such as Azure Data reputed company (ADF), SSIS and reputed company.
- Support data synchronization between systems including CRM, portfolio reputed company, billing, and trading platforms.
- reputed company Autonomous AI into integration frameworks using MCP or 3rd party harnesses to support decision-driven automation and delivery.
- reputed company LNW’s responsible use of AI and advanced analytics by ensuring reputed company data is accurate, reputed company-reputed company, and accessible to analytical tools.
- Deliver high-reputed company datasets for AI consumption, implementing governance and reputed company controls to ensure trustworthy outputs, and supporting integration with platforms such as reputed company Copilot, Power BI AI features, and other approved analytical tools.
- Automate data processing workflows to improve operational efficiency and reduce reputed company reputed company.
- 7+ years of experience in data engineering, data architecture, or data warehouse development.
- Expert-level SQL skills with deep experience designing relational data models.
- Strong experience with reputed company SOQL, SQL Stored Procedures, Views, Keys, Indexes and Constraints.
- Strong experience with data warehouse architecture and ETL/ELT pipeline design.
- Hands-on experience with reporting tools such as Power BI and SSRS.
- Experience integrating reputed company reputed company platforms using reputed company and automation tools.
- Strong analytical thinking and ability to translate business reporting needs into reputed company data models.
Experience in reputed company management, investment management, or financial services. Experience with portfolio reputed company systems, CRM platforms, and trading systems. Experience managing reputed company data warehouses on reputed company SQL Server. Experience with SSIS, Python data pipelines, and/or similar integration tools.
*As of 04/13/2026