Role Description GovCIO is seeking an experienced Lead Cloud Architect with deep expertise in cloud and data center engineering to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). In this role, you will provide technical leadership across hybrid infrastructure environments, collaborating with senior OIT partners, architects, engineering teams, and business stakeholders to design, modernize, and optimize secure, scalable, and resilient cloud and data center solutions. This position is fully remote, located in the United States. - Develop a deep understanding of VA enterprise infrastructure, including cloud platforms, on-premises data centers, and modernization initiatives - Lead the design and implementation of hybrid cloud and data center architectures, ensuring alignment with VA strategic objectives - Create and maintain architecture artifacts, engineering standards, technical guidance, and design documentation - Conduct design reviews and provide technical validation for infrastructure and cloud solutions - Drive infrastructure modernization initiatives, including hardware/software refresh, migration, and transformation strategies - Support execution of multi-year modernization roadmaps and platform decommissioning efforts - Perform and oversee advanced engineering analysis, including infrastructure performance modeling and optimization assessments - Lead capacity planning, resource allocation, and performance monitoring to ensure efficient and scalable operations - Architect integrated solutions across on-premises systems and cloud environments, ensuring high availability, resilience, and performance - Ensure all architectures meet VA security requirements and federal compliance standards, incorporating cybersecurity controls into designs - Oversee development of configuration management materials and ensure all engineering artifacts are audit-ready and traceable - Collaborate with program leadership, operations teams, and business stakeholders to support portfolio planning and investment prioritization - Present technical strategies and recommendations clearly to both technical and non-technical stakeholders - Document and communicate value delivery, performance improvements, and modernization outcomes across initiatives Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience) - 12+ years of experience in cloud architecture, data center engineering, or infrastructure leadership roles - Deep expertise in: - Hybrid cloud architecture (AWS, Azure, or similar) - Data center infrastructure (compute, storage, networking) - Infrastructure modernization and transformation initiatives - Strong experience developing architecture artifacts, engineering standards, and technical documentation - Demonstrated ability to lead complex technical initiatives across enterprise environments - Experience with capacity planning, performance optimization, and infrastructure lifecycle management - Strong communication skills with the ability to influence senior stakeholders and cross-functional teams Requirements - Current in one or more of the following certificates: - AWS Certified Solutions Architect (Associate/Professional) - Google Professional Cloud Architect - Microsoft Certified: Azure Solutions Architect Expert - Experience supporting federal agencies, particularly the Department of Veterans Affairs (VA), OIT, VBA, or VHA - Familiarity with advanced modeling and analysis techniques (e.g., performance modeling, computational simulations) - Experience with cloud financial management, cost optimization, or FinOps practices - Experience with tools such as Jira for workflow and collaboration management - Background in enterprise architecture and future-state technology planning Benefits - Ability to obtain and maintain a Suitability/Public Trust clearance. Posted Salary Range USD $200,000.00 - USD $250,000.00 /Yr.

• Identify and label languages and dialects from model-generated responses. • Review outputs from two different AI models and determine which model correctly identified the proposed language. • Compare model responses and select the appropriate evaluation outcome from predefined options • Ensure annotations are accurate, consistent, and aligned with project guidelines. • Support quality improvement efforts by providing reliable language identification evaluations.

• Preparing Data: Verify and review data received from data controllers to ensure accuracy, relevance, and completeness. • Inputting Data: Enter data into relevant software systems, ensuring there are no errors, and the data is correctly translated for analysis. • Organizing Data: Create graphs, charts, and reports to help data controllers understand the data, providing context and insights. • Storing Data: Maintain both raw and processed data securely, ensuring it is accessible for future use and analysis. • Intermediary Role: Act as a liaison between data subjects and data controllers, converting raw data into readable formats. • Designing IT Systems: Assist in creating and modifying IT systems to gather and process data efficiently, ensuring compliance with data protection regulations.

Title: Solutions Architect: Data & AI - Public Sector Location: Delhi, India Job Description: FEQ427R303 As a Solutions Architect, you will be the technical cornerstone of the sales process, driving hands-on evaluations and serving as a strategic advisor to both our customers and internal teams. You will bridge the gap between business vision and technical execution, helping organizations solve their most complex challenges in big data, analytics, and data science. By acting as a technical advocate in the field, you will directly influence the product roadmap while helping customers achieve tangible, data-driven outcomes through the Databricks Lakehouse Platform. In this high-impact role, you will report to the Field Engineering Manager and collaborate with our most strategic prospects to integrate our platform into their enterprise ecosystems. You will navigate the competitive landscape with authority, applying best practices to develop technical champions within customer organizations. Beyond immediate technical delivery, you will grow as a leader in the cloud space, architecting sophisticated solutions that define the future of Data Engineering and AI for the world’s most innovative companies. This is a Hybrid role, based in Delhi. The impact you will have: - You will be a Big Data Analytics expert on aspects of architecture and design - Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem - Support your customers by authoring reference architectures, how-tos, and demo applications - Integrate Databricks with 3rd-party applications to support customer architectures - Engage with the technical community by leading workshops, seminars and meet-ups - Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: - Strong consulting / customer facing / Pre-sales experience, working with external clients across a variety of industry markets - Core strength in either data engineering or data science technologies - 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding - 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP) - 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others - Coding experience in Python, R, Java, Apache Spark™ or Scala About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.