• Define and own the target data architecture and migration strategy for moving data infrastructure from AWS to Azure • Design end-to-end cloud-native data architectures leveraging Azure services, Snowflake, Databricks, and modern ETL/ELT and orchestration frameworks • Establish architectural principles, standards, and reference architectures covering: Data ingestion, transformation, and orchestration, analytical and research data platforms, security, access control, and compliance, scalability, performance, and cost optimization • Lead architectural decision-making across batch and streaming data pipelines, supporting both operational and research workloads • Partner closely with data engineers, analytics teams, and investment stakeholders to ensure architecture aligns with business and research needs • Guide and review solution designs, ensuring adherence to architectural standards and best practices • Define approaches for data modeling, metadata management, lineage, and data quality across the platform • Support integration of financial and market data providers (e.g., Bloomberg, LSEG, MSCI, FactSet) into the target architecture • Act as a trusted technical advisor to senior client stakeholders, translating complex technical concepts into clear architectural guidance • Engage directly with C-level executives and senior leadership to shape data strategy, investment in platforms, and long-term architectural direction • Lead executive-level architecture discussions and design reviews, presenting trade-offs, risks, costs, and benefits to support informed decision-making • Translate business, investment, and research objectives into clear data architecture strategies, ensuring alignment between executive priorities and technical execution • Serve as a senior architectural voice in governance forums, influencing platform roadmaps, cloud strategy, and data operating models • Contribute to delivery planning, risk management, and governance within Agile and change programs • Mentor engineers and architects, promoting architectural consistency and engineering excellence

• Own the systems that discover, acquire, and transform unstructured content into clean, structured, queryable data • Build automated content discovery from the web • Design LLM-powered extraction pipelines • Build evaluation harnesses and optimize for cost at scale • Maintain data quality and serve downstream consumers

• Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing. • Manage and optimize ClickHouse as our primary analytical engine. • Structure data environments to support the full ML lifecycle. • Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining. • Develop scalable frameworks to ingest diverse healthcare data sources with high velocity. • Ensure all data structures and processes adhere to HITRUST/HIPAA standards.

• Provide IT Services for implementation of the clients cloud-based Software as a Service (SaaS) solution, software licensing, and maintenance. • Handle scope and communication to clients during delivery. • Ensure the database design of all components has an enterprise view and that each component/module works together to address the functional requirements. • Manage data warehousing (both traditional and cloud) and data governance. • Implement and perform performance tuning. • Utilize data engineering and ETL tools from multiple sources. • Implement self-service business intelligence tools. • Maintain in-depth knowledge of cloud technologies, platforms, and solutions as they relate to data architecture. • Work within an integrated and multi-cloud environment. • Provide data architecture expertise in building the solution. • Use data governance tools and develop data migration strategies from legacy to modern technologies. • Migrate documents and metadata from legacy applications to future state content management. • Collaborate with project stakeholders to ensure and address all functional and non-functional requirements.