Note: The job is a remote job and is open to candidates in USA. EY is a global leader in technology consulting, specializing in AI and data solutions. They are seeking a Context Engineer - Manager to design and build modern data pipelines and implement semantic frameworks that enable AI systems to understand enterprise data.
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
- 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
- Hybrid model with expectation to work 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
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