Note: The job is a remote job and is open to candidates in USA. EY is a globally connected powerhouse of diverse teams, and they are seeking a Senior Context Engineer to design and build modern data pipelines while implementing semantic frameworks that enable AI and intelligent data products. This role involves collaborating with data architects and AI engineers to create scalable data and semantic models for analytics and operational use cases.
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
Skills
- A Bachelor's degree in STEM
- 4+ 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
- Hybrid model with expectation to work together in person 40-60% of the time
- 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
- Reasonable accommodation to qualified individuals with disabilities including veterans with disabilities
Company Overview
Company H1B Sponsorship