Role Description We are seeking an experienced Senior Data Architect to design, develop, and manage enterprise data warehouse solutions. The ideal candidate will have strong expertise in: - SQL Server - Data modeling - Database architecture - ETL - Data governance Experience with Azure DevOps, .NET/C#, or Java is preferred. Candidates should have 8+ years of IT experience, including at least 5 years in data architecture and data warehouse design. Qualifications - Data Warehouse & Data Modeling - SQL Server & SQL - Database Architecture - Data Governance & Master Data - Azure DevOps - .NET/C# or Java - Strong analytical and communication skills Requirements - 8+ years of IT experience - At least 5 years in data architecture and data warehouse design Company Description

Role Description The Senior Data Engineer – Exadata Platform Engineering is responsible for the administration, maintenance, performance optimization, and lifecycle management of Oracle Exadata engineered systems, including both On-Premises Exadata and Exadata Cloud Services (ExaCS). This role focuses on Exadata infrastructure and cloud environments. This position ensures the availability, performance, scalability, and security of mission-critical, large-scale platform environments while providing operational support, capacity planning, automation, monitoring, and troubleshooting across hybrid cloud and on-premises environments. Responsibilities include: - Administer and maintain Oracle Exadata Database Machine, ZDLRA, and Exadata Cloud environments, including compute nodes, storage cells, operating systems, networking, and supporting platform components. - Manage Exadata infrastructure performance, capacity planning, storage utilization, and growth forecasting to ensure platform scalability and reliability. - Configure, monitor, and optimize Exadata-specific infrastructure technologies, including Smart Scan, Storage Indexes, Smart Flash Cache, and IORM. - Administer and support Exadata networking, backup infrastructure, and disaster recovery platform components. - Monitor system health, performance, and availability using Oracle Enterprise Manager (OEM), including alert management, reporting, and operational support. - Support Exadata deployments, migrations, and platform operations across on-premises, OCI, Exadata Cloud Service (ExaCS), KVM, OCI@Azure, and OCI@AWS environments. - Develop and maintain automation solutions for platform administration, monitoring, patching, and operational processes using Ansible, Python, and Shell scripting. - Troubleshoot and resolve complex Exadata platform issues. - Participate in incidents, problems, change, and on-call support processes to ensure platform stability, availability, resiliency, and operational excellence. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. Qualifications - High School Diploma/GED - 5+ years of hands-on experience administering Oracle Exadata engineered systems in production environments - 5+ years of experience supporting Exadata infrastructure, including storage cells, compute nodes, operating systems, and networking - 5+ years of experience monitoring and optimizing Exadata environments using features such as Smart Scan, Storage Indexes, Smart Flash Cache, and IORM - 5+ years of experience with Exadata capacity planning, storage management, backup infrastructure, and high availability/disaster recovery platforms - 4+ years of experience troubleshooting complex Exadata infrastructure issues - 4+ years of experience automating administrative processes using Ansible, Python, Shell scripting, or similar tools - 4+ years of experience with Incident, Problem, and Change Management processes in enterprise production environments Requirements - Undergraduate degree or equivalent experience - 1+ years of experience with ZDLRA administration would be an added benefit - Experience supporting Exadata Cloud Service (ExaCS), OCI, Oracle Database@Azure, or Oracle Database@AWS environments strongly preferred - Experience with OEM Administration would be an added benefit - Experience in ticketing tools such as ServiceNow Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

• Lead the modernisation and transformation of Newsquest's data platform and supporting architecture, creating a scalable, secure and sustainable foundation for future growth. • Define and deliver a roadmap for data migration, integration, governance, reporting and analytics capabilities. • Lead the implementation of a modern data platform, including the development of a data warehouse, data lake, lakehouse or equivalent cloud-based solution. • Work with stakeholders across the business to understand requirements and translate them into practical data solutions that deliver measurable business value. • Collaborate closely with IT teams, data engineers, system owners and third-party suppliers to ensure successful project delivery. • Manage programme plans, budgets, risks, dependencies and resources across multiple workstreams. • Establish and embed robust data governance, ownership and quality standards across the organisation, increasing confidence and trust in business data. • Lead and support internal data engineering resources, ensuring successful delivery of platform objectives. • Drive platform adoption across the business, improving accessibility to trusted data and reducing reliance on manual processes. • Oversee post-implementation stabilisation, optimisation and continuous improvement activities, ensuring the platform continues to evolve alongside business requirements. • Identify future opportunities to enhance reporting, analytics, automation and data-driven decision-making.

• Modern, scalable, and secure data architectures on Google Cloud Platform. • High-performance data pipelines for ingestion, transformation, and data delivery. • Analytical solutions for Data Lake, Data Warehouse, and Data Mart. • Robust and optimized data models for analytical consumption and decision-making. • Environments with governance, data quality, security, and compliance across the entire data lifecycle.