2 Apifirst Architecture Jobs

As a Senior Data Architect at Eaton, your main responsibility will be to design and implement data pipelines, Ontology objects, and integrations with other systems and data sources. You will be tasked with developing robust data transformation workflows that ensure high performance and scalability, as well as assisting others in doing the same. Collaboration with cross-functional teams to gather requirements and implement solutions that adhere to established architectural patterns within Eaton will be a significant part of your role. You will also oversee the enforcement of good data governance practices and ensure the security of our data. Additionally, you will play a key role in continuously improving data architecture, setting best practices for data management, security, and governance in Palantir environments. Your duties as a Senior Data Architect will include creating blueprints for data management systems to ensure organized, integrated, and accessible data. You will develop data models that guide database design and development, design and build databases for optimal data storage and retrieval, and establish data policies and standards that align with business objectives. Implementing security measures to protect sensitive information, ensuring compliance with regulations, setting standards for data quality, and maintaining data integrity will also be part of your responsibilities. You will design approaches to data integration, work with stakeholders to design effective data infrastructure, and stay updated on the latest trends in data management and technologies. Qualifications: - Minimum of 10 years of experience in Information Technology, with at least 5 years in Enterprise Solution/data architecture, Data Modeling, Data management, Data strategy, and Cloud database technologies. - Bachelor's degree Skills: - Familiarity with data architecture frameworks and best practices. - Strong communication skills to explain complex concepts to non-technical stakeholders. - Ability to collaborate with cross-functional teams to solve complex problems and develop innovative solutions. - Strong troubleshooting skills to assist others with their work. Preferred Qualifications: - Experience with Palantir Platform. - Familiarity with the latest Generative AI models. - Proficiency in programming languages such as Python, Java, SQL, C++, TypeScript/JavaScript, or similar. - Good understanding of Data Integration technologies. - Knowledge of API-First architecture. - Experience with enterprise data projects (data warehouses/master data management, others) and hands-on data analysis. - Familiarity with Agile and DevOps processes. - Ability to adapt to changing business needs, work under pressure, and meet tight deadlines. - Strong team player, self-motivated, and committed with the ability to work independently and understand all aspects of the Software Development Lifecycle.,

As a Specialist Palantir Developer at Eaton, your primary responsibility will be to design, develop, and maintain Palantir-based data pipelines, applications, integration, and AI/ML solutions. Your role will involve implementing robust data transformation workflows to ensure high-performance and scalability. Working closely with cross-functional teams, you will gather requirements and provide data-driven solutions. Additionally, you will collaborate on establishing best practices for data management, security, and governance within Palantir environments. Your key responsibilities will include: - Designing, developing, and maintaining Palantir-based data pipelines, applications, and integration solutions. - Implementing robust data transformation workflows for high-performance and scalability. - Collaborating with cross-functional teams to gather requirements and provide data-driven solutions. - Setting best practices for data management, security, and governance in Palantir environments. - Troubleshooting and resolving issues with Palantir data platforms and systems. - Conducting performance tuning and optimization of Palantir tools for maximum efficiency. - Learning and implementing data modeling, integration, and data visualization techniques to support analytical efforts. - Supporting and maintaining the full lifecycle of Palantir's data tools and related services. - Ensuring compliance with data protection protocols. - Staying updated with advancements in AI, machine learning, and deep learning, and evaluating their potential applications. - Developing testing and validation strategies to ensure the reliability, accuracy, and safety of Generative AI models in production. - Having the opportunity to build machine learning models. Qualifications: Basic Qualification: - Bachelor's degree from an accredited institution. - Minimum of 10 years of overall work experience. Skills: - Experience in artificial intelligence data science, machine learning engineering, or data analytics. - Proficiency in implementing, testing, and fielding automation artificial intelligence and machine learning solutions. Preferred Qualifications: - Familiarity with the latest Generative AI models and understanding of their strengths and weaknesses. - Proficiency in programming languages like Python, Java, SQL, C++, TypeScript/JavaScript, or similar. - Good understanding of Data Integration technologies and API-First architecture. - Experience in enterprise data projects (data warehouses/master data management, others) with hands-on data analysis. - Familiarity with Agile and DevOps processes. - Ability to handle ambiguity and adapt to changing business needs. - Strong team player, self-motivated, and committed with the ability to work under pressure and tight deadlines. - Capability to work independently and knowledge of all aspects of the Software Development Lifecycle. - Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. - Ability to collaborate with cross-functional teams to solve complex problems and develop innovative solutions.,