[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.

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

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