JOB SUMMARY We are seeking a highly experienced Senior Data Architect to design, optimize, and govern scalable, secure, and high-performance data architectures for complex, distributed, and multi-modal environments. This individual will serve as the principal architect responsible for data platform blueprinting, modeling, and system interoperability across OLTP, OLAP, real-time, and AI/ML pipelines. The ideal candidate combines deep technical knowledge with system-level thinking and has proven expertise across modern data stack technologies, cloud-native and edge-cloud platforms, and data governance frameworks. Work will include data extraction, transformation, loading, and integration to support enterprise data infrastructures, data warehouses, operational data stores, and master data management. WHAT OUR PRINCIPLE DATA ARCHITECT III'S ENJOY MOST Actively and consistently support all efforts to simplify and enhance the customer experience. Lead the implementation of data services and data movement infrastructures. Architect data structures/models and data movement infrastructures across organizations. Lead the implementation of programming concepts such as data structures, error handling, data manipulation and I/O processing. Redesign jobs based on failures across the organization, including error handling, data manipulation, and I/O processing. Lead the implementation of database concepts and practices, including definition and query language. Architect the implementation of database concepts and practices across the organization. Design, implement, monitor, enhance, and troubleshoot data warehousing systems and processing infrastructure. Lead enterprise-wide teams to design, implement, and support end-to-end data solutions across platforms, environments, domains, and locations. Develop and support ETL processes, programs, and solutions following established standards. Monitor and administer data integration and ETL jobs to verify execution and performance. Mentor and guide junior developers, vendors, and external partners in resolving data integration issues. Diagnose complex issues and recommend solutions. Influence the overall data insights program. Deliver quality results to the data development team. Ensure alignment and drive consistency and global solutions. Collaborate with business and technical teams. Develop and document best practices. Provide leadership on data development standards, expectations, and trends. WHAT YOU'LL BRING TO SPECTRUM Required Qualifications Bachelor's degree or equivalent experience 10+ years of ETL experience 8+ years of experience with SQL, Shell Script, Python, JSON 7+ years of data integration experience 7+ years of data visualization experience (Tableau, Alteryx, MicroStrategy) 7+ years of software engineering experience Extensive experience designing complex ETL processing and warehousing Skills: Experience building use cases and supporting data scientists and engineers Experience with data lakes, data sets, and data sources Proficiency with SQL/HIVE databases and tables Expertise in data access methods from relational databases using SQL Hands-on experience with web services (WSDL SOAP, RESTful), FTP/sFTP Effective communication, analytical, and troubleshooting skills Abilities: Proficiency in English (reading, writing, speaking) Preferred Qualifications Knowledge of data modeling, semantics, storage, ingestion, processing, cloud architecture, DataOps, governance, security, AI/ML, and analytics tools and frameworks Preferred Education: Master's degree or equivalent experience in design, architecture, and leadership What you can enjoy every day: Culture of diversity, learning, growth, and comprehensive benefits Additional details about company culture, salary, and application process are included, along with legal and equal opportunity statements. #J-18808-Ljbffr
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