[Remote] Context Engineer - Manager - Consulting - Location OPEN

Note: The job is a remote job and is open to candidates in USA. EY is a global leader in technology consulting services, focusing on AI and data solutions. The company is seeking a Context Engineer - Manager to design and build modern data pipelines, implement semantic frameworks, and collaborate with various stakeholders to enhance AI capabilities and data management.ResponsibilitiesDesign, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environmentsBuild out new integrations using cloud-native technologies to support continuing increases in data sources, volume, and complexityExtract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needsImplement processes and systems to drive data reconciliation and monitor data qualityWrite unit/integration/performance tests and perform analysis required to troubleshoot data-related issues and support resolutionDevelop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analyticsBuild and maintain knowledge graphs that enable contextual reasoning, entity resolution, and semantic integration across domainsDefine metadata schemas, taxonomies, and contextual rules to support dynamic orchestration, discoverability, and reuseImplement and govern semantic standards and best practices aligned to W3C semantic web standardsUtilize CI/CD principles to automate deployment of code changes, improving code quality, test coverage, and resilienceEvaluate and adopt emerging tools and processes in data engineering and knowledge graph platforms to improve productivity and outcomesPartner with Business Analysts and Solution Architects to translate business requirements into technical specifications aligned to the intended designCollaborate with AI/ML engineers to embed a semantic context layer into agentic workflows and data productsSupport advanced analytics and AI use cases by improving data readiness, meaning, lineage, and interpretabilityCollaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivityAdvise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growthFoster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutionsDevelop solutions for complex problemsSuggest changes to policies and establish new proceduresProvide direction and feedback to team membersSkillsA Bachelor's degree in STEM6+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development3+ years' experience with native cloud products and services such as AWS, Azure or GCP2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional developmentExperience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelinesProven track record of designing and implementing complex data solutionsDemonstrated understanding and experience using: Data engineering programming languages (e.g., Python)Proficiency in OWL, RDF, SPARQLDistributed data technologies (e.g., Pyspark)Cloud platform deployment and tools (e.g., Kubernetes)Relational SQL databasesDevOps and continuous integrationGitHubStrong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutionsUnderstanding of database architecture and administrationExcellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partnersStrong problem solving and troubleshooting skillsAbility to work in a fast-paced environment and adapt to changing business prioritiesStrong business acumen with the ability to manage complex client relationshipsProven experience in managing and leading teams within a dynamic environmentExcellent communication and interpersonal skillsExperience with agentic AI systems or AI orchestration frameworksKnowledge of data fabric, data mesh, or AI4Data architecturesBackground in enterprise data management (MDM, metadata, governance)Experience with cloud data platforms like Snowflake and DatabricksExperience in leading and influencing teams, with a focus on mentorship and professional developmentA passion for innovation and the strategic application of emerging technologies to solve real-world challengesThe ability to foster an inclusive environment that values diverse perspectives and empowers team membersBenefitsMedical and dental coveragePension and 401(k) plansA wide range of paid time off optionsTeam-led and leader-enabled hybrid modelFlexible vacation policyTime off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-beingCompany OverviewEY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets. It was founded in 1999, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.ey.com/en_ie/entrepreneur-of-the-year.Company H1B SponsorshipEY has a track record of offering H1B sponsorships, with 1567 in 2026, 10235 in 2025, 9877 in 2024, 10966 in 2023, 9394 in 2022, 5652 in 2021, 8849 in 2020. Please note that this does not guarantee sponsorship for this specific role.