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Ernst & Young

Global professional services: consulting, assurance, tax

Data Engineer and Analytics Platform Manager - Assistant Director

Engineering LeadershipUpdated on Nov 14
Full-timeDallas, TX, USA$124.4k - $232.7k

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related technology discipline, such as Software Engineering, Computer Engineering, Information Systems, Data Engineering, Data Science or Information Technology.
  • Eight to twelve years of progressive professional experience in data engineering, data platforms, analytics engineering or a related technology-delivery field.
  • Demonstrated experience providing technical leadership to development teams and guiding architecture and solution-design decisions.
  • Hands-on experience designing, developing or delivering enterprise data and analytics solutions using Azure Databricks or Microsoft Fabric; experience with at least one of these platforms is required.
  • Strong knowledge of data ingestion, transformation, orchestration, integration, modelling, testing, monitoring and production support.
  • Experience reviewing technical designs, platform integrations, data pipelines and analytics solutions.
  • Experience managing technical risks, dependencies, governance requirements, competing priorities and delivery timelines.
  • Experience leading technical workstreams or multidisciplinary teams through requirements, design, development, testing, deployment and production support.
  • Experience communicating technical concepts, risks and recommendations to technical and non-technical stakeholders.
  • Experience leading or supporting onshore and offshore delivery models, knowledge-transfer activities and operational handoffs.
  • Strong technical leadership skills, with the ability to influence direction and drive delivery across multiple teams.
  • Deep understanding of modern data engineering, analytics and cloud-platform concepts.
  • Ability to balance strategic thinking with practical, hands-on technical leadership.
  • Strong problem-solving and decision-making skills in complex technical environments.
  • Ability to review technical solutions, identify risks and recommend practical improvements.
  • Proven ability to coach and mentor technical professionals.
  • Strong stakeholder-management and communication skills.
  • Ability to manage ambiguity, competing priorities and organizational change.
  • Ability to work effectively across functions, business areas, geographies and time zones.

Responsibilities

  • Provide technical leadership for enterprise data, analytics and AI platform initiatives, from requirements and solution design through deployment and production support.
  • Guide architecture and solution-design decisions to ensure solutions meet business, security, scalability, quality and operational requirements.
  • Lead technical workstreams and multidisciplinary teams through design, development, testing, deployment and ongoing support.
  • Review technical designs, data pipelines, platform integrations and analytics solutions for reliability, scalability, maintainability and performance.
  • Manage technical risks, dependencies, competing priorities and delivery timelines while maintaining appropriate governance and quality controls.
  • Identify and remove technical and delivery barriers, helping teams resolve complex issues.
  • Coach and mentor team members, strengthen technical capabilities and promote knowledge sharing and consistent engineering practices.
  • Communicate technical risks, options and recommendations clearly to technical and non-technical stakeholders.
  • Lead or support onshore and offshore transitions, including readiness assessments, knowledge transfer, documentation, handoffs and post-transition stabilization.
  • Establish clear ownership, communication channels, escalation processes and quality expectations across geographically distributed teams.

Desired Qualifications

  • Experience with Azure AI Foundry.
  • Experience designing, developing or supporting AI and data agents using Databricks Genie, Microsoft Fabric Data Agents or comparable agent-based technologies.
  • Experience delivering generative AI, conversational analytics, natural-language data experiences or AI-enabled business insights in an enterprise environment.
  • 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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