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Ernst & Young

Global professional services: consulting, assurance, tax

Data Platform Delivery and Operations Supervising Associate

Data EngineeringConfirmed live in the last 24 hours
Full-timeDallas, TX, USA$87.2k - $185.3k

About the Job

Requirements

  • A bachelor's degree in Computer Science or an equivalent technology-related discipline, such as Software Engineering, Computer Engineering, Data Engineering, Data Science, Information Systems, Information Technology, Applied Mathematics or another quantitative field with a significant computing component.
  • Have 2–5 years of progressive professional experience in data engineering, data platforms, analytics engineering, business intelligence or related technology-delivery roles.
  • Have hands-on experience developing or supporting data and analytics solutions using Azure Databricks and/or Microsoft Fabric, with experience in at least one of these platforms required.
  • Have experience building, maintaining or troubleshooting data pipelines and integrations across multiple systems and data sources.
  • Have experience supporting the design, development, testing, deployment and production operation of enterprise data solutions.
  • Have experience independently managing defined technical deliverables or workstreams.
  • Have experience investigating technical issues, performing root-cause analysis and coordinating fixes.
  • Have experience reviewing technical outputs, data pipelines, business logic and supporting documentation.
  • Have experience supporting testing activities and maintaining technical and operational documentation.
  • Have experience supporting onshore/offshore transitions, knowledge transfer, handovers and stabilization.
  • Have strong data-engineering knowledge across data ingestion and integration, transformation and orchestration, data modelling, data quality and reconciliation, testing and validation, monitoring, issue management, deployment and production support.
  • Be able to review technical designs and work products, identify issues and recommend practical improvements.
  • Be able to provide technical guidance while operating effectively as an individual contributor.
  • Use sound judgment to identify matters requiring architectural, strategic or stakeholder decisions and escalate them promptly.
  • Have strong written and verbal communication skills, including the ability to explain technical issues, risks and recommendations to technical and non-technical audiences.
  • Be able to collaborate effectively with onshore and offshore teams while maintaining clear ownership, communication and follow-through.

Responsibilities

  • Execute and coordinate assigned technical work across the design, development, testing, deployment and production support of enterprise data solutions.
  • Manage defined technical deliverables and workstreams, escalating risks, dependencies and decisions to the Assistant Director when required.
  • Investigate technical and production issues, perform root-cause analysis and coordinate fixes with development, testing and business teams.
  • Review code, configurations, data models, data pipelines, business logic and technical documentation for completeness, accuracy and adherence to established standards.
  • Translate stakeholder requirements into clear technical tasks, acceptance criteria and delivery plans.
  • Support quality-assurance and user-acceptance testing, including test-case preparation, defect investigation, resolution tracking and validation of completed fixes.
  • Produce and maintain technical specifications, process documentation, operating procedures, support guides and knowledge-transfer materials.
  • Provide day-to-day technical guidance, share leading practices, support less-experienced colleagues and promote consistent development, testing and documentation standards.
  • Support onshore and offshore transitions through structured knowledge transfer, technical and operational handovers, dependency tracking and post-transition stabilization.
  • Coordinate across geographies and time zones to ensure technical issues are assigned, tracked and resolved.

Desired Qualifications

  • Have experience with Azure AI Foundry.
  • Have experience designing, creating, configuring or supporting AI and data agents using Databricks Genie, Microsoft Fabric Data Agents or comparable agent-based technologies.
  • Have experience implementing generative AI, natural-language analytics, conversational data experiences or AI-enabled business insights.
  • Have experience with Power BI, semantic models, DAX, Power Query or related Microsoft analytics technologies.
  • Have relevant Microsoft Azure, Databricks or Microsoft Fabric certifications.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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