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.
Responsibilities
- Design, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environments
- Build out new integrations using cloud-native technologies to support continuing increases in data sources, volume, and complexity
- Extract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needs
- Implement processes and systems to drive data reconciliation and monitor data quality
- Write unit/integration/performance tests and perform analysis required to troubleshoot data-related issues and support resolution
- Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics
- Build and maintain knowledge graphs that enable contextual reasoning, entity resolution, and semantic integration across domains
- Define metadata schemas, taxonomies, and contextual rules to support dynamic orchestration, discoverability, and reuse
- Implement and govern semantic standards and best practices aligned to W3C semantic web standards
- Utilize CI/CD principles to automate deployment of code changes, improving code quality, test coverage, and resilience
- Evaluate and adopt emerging tools and processes in data engineering and knowledge graph platforms to improve productivity and outcomes
- Partner with Business Analysts and Solution Architects to translate business requirements into technical specifications aligned to the intended design
- Collaborate with AI/ML engineers to embed a semantic context layer into agentic workflows and data products
- Support advanced analytics and AI use cases by improving data readiness, meaning, lineage, and interpretability
- Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
- Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
- Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
- Develop solutions for complex problems
- Suggest changes to policies and establish new procedures
- Provide direction and feedback to team members
Skills
- A Bachelor's degree in STEM
- 6+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development
- 3+ years' experience with native cloud products and services such as AWS, Azure or GCP
- 2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development
- Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines
- Proven track record of designing and implementing complex data solutions
- Demonstrated understanding and experience using: Data engineering programming languages (e.g., Python)
- Proficiency in OWL, RDF, SPARQL
- Distributed data technologies (e.g., Pyspark)
- Cloud platform deployment and tools (e.g., Kubernetes)
- Relational SQL databases
- DevOps and continuous integration
- GitHub
- Strong 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 solutions
- Understanding of database architecture and administration
- Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
- Strong problem solving and troubleshooting skills
- Ability to work in a fast-paced environment and adapt to changing business priorities
- Strong business acumen with the ability to manage complex client relationships
- Proven experience in managing and leading teams within a dynamic environment
- Excellent communication and interpersonal skills
- Experience with agentic AI systems or AI orchestration frameworks
- Knowledge of data fabric, data mesh, or AI4Data architectures
- Background in enterprise data management (MDM, metadata, governance)
- Experience with cloud data platforms like Snowflake and Databricks
- Experience in leading and influencing teams, with a focus on mentorship and professional development
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Team-led and leader-enabled hybrid model
- Flexible vacation policy
- Time 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-being
Company Overview
EY 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 Sponsorship
EY 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.