Data Engineer, Analytics Platform Manager – Assistant Director

. Provide technical leadership for enterprise data, analytics and AI platform initiatives from requirements and solution design through deployment and production support .

Posted 10/23/2026full-timeUnited StatesLead💰 $124,400 - $232,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical leadership for data engineering and analytics platforms, with a strong focus on Azure Databricks and Microsoft Fabric. Capable of guiding architecture decisions, managing technical risks, and fostering collaboration across multidisciplinary teams.

Highest-signal resume keywords

Technical LeadershipAzure DatabricksData EngineeringAnalytics SolutionsGenerative AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData OrchestrationData IntegrationData ModellingData TestingData MonitoringProduction SupportTechnical Design ReviewPlatform Integration

Soft Skills

CoachingMentoringCommunicationProblem-SolvingKnowledge Sharing

Tools & Technologies

Microsoft FabricAzure AI FoundryDatabricks GenieAI-Powered AnalyticsConversational Analytics

Certifications & Qualifications

Microsoft Azure CertificationDatabricks CertificationMicrosoft Fabric Certification

Industry Keywords

Enterprise DataAnalyticsAI PlatformsGovernanceOperational Requirements

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

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 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 governance and quality controls
Identify and remove technical and delivery barriers
Coach and mentor team members and promote knowledge sharing and consistent engineering practices
Communicate technical risks, options and recommendations 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 ownership, communication channels, escalation processes and quality expectations across geographically distributed teams
Partner with business leaders, architects and engineering teams to establish technical direction and deliver modern data platforms
Help advance adoption of generative AI, intelligent agents and AI-powered analytics

Requirements

What you’ll need

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
8 to 12 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 with Azure Databricks or Microsoft Fabric; experience with at least one 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
Experience with Azure AI Foundry (ideally)
Experience designing, developing or supporting AI and data agents using Databricks Genie, Microsoft Fabric Data Agents or comparable agent-based technologies (ideally)
Experience delivering generative AI, conversational analytics, natural-language data experiences or AI-enabled business insights in an enterprise environment (ideally)
Relevant Microsoft Azure, Databricks or Microsoft Fabric certifications (ideally)

Benefits

Comp & perks

Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
EY Paid Holidays
Winter/Summer breaks
Personal/Family Care leave
Other leaves of absence
Professional growth
Inclusive culture