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EY

Data Engineer – Manager, Databricks

EY

. Understand and analyze business requirements and translate them into technical requirements .

Posted 11/10/2026full-timeUnited StatesMid-LevelSenior💰 $125,500 - $230,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data architecture and engineering solutions on cloud platforms such as AWS, Azure, or GCP. Proficient in managing teams, ensuring data quality and compliance, and effectively communicating complex data concepts to diverse stakeholders.

Highest-signal resume keywords
Databricks Data EngineeringCloud Data SolutionsPython ProgrammingData Architecture DesignTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringBig Data ProcessingData Pipeline DevelopmentData GovernanceAI-Native Data EngineeringSparkSQLScalaAdvanced Data AnalyticsMachine Learning Concepts
Soft Skills
CommunicationProblem-SolvingClient ManagementProject ManagementInterpersonal Skills
Tools & Technologies
AWSAzureGCPCursorGitHub CopilotDatabricks Assistant
Industry Keywords
Data QualityData IntegrityData SecurityData LifecycleAnalytics Trends

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Understand and analyze business requirements and translate them into technical requirements
  • Design, build, and operate scalable data architecture and modeling solutions
  • Lead workstream delivery and ensure quality in all processes
  • Engage with clients daily, participate in working sessions, and identify opportunities for additional services
  • Implement resource plans and budgets while managing engagement economics
  • Lead the design and development of scalable Databricks data engineering solutions on AWS, Azure, or GCP
  • Oversee complex cloud analytics solution architecture and alignment with business objectives
  • Manage and mentor data engineers and foster innovation, collaboration, and continuous improvement
  • Collaborate with clients to understand analytics needs and deliver tailored solutions
  • Ensure data quality, integrity, security, governance, and compliance throughout the data lifecycle
  • Drive end-to-end data pipeline development, including ingestion, transformation, and storage
  • Communicate complex data concepts and project progress to technical and non-technical stakeholders
  • Manage client relationships and expectations
  • Stay current with data engineering, cloud computing, and analytics trends
  • Travel regularly as required by client needs

Requirements

What you’ll need
  • Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred
  • 4–6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics
  • Proven expertise in Databricks and experience with Spark for big data processing
  • Hands-on experience with AI-native data engineering practices, including generative AI and agentic workflows
  • Strong background in data architecture and design
  • Experience leading and managing teams, mentoring and developing talent
  • Strong programming skills in Python, Scala, or SQL
  • Familiarity with AI-powered IDEs and coding assistants such as Cursor, GitHub Copilot, and Databricks Assistant
  • Strong analytical, problem-solving, communication, interpersonal, client-management, project-management, stakeholder-engagement, change-management, risk-management, technical-leadership, documentation, and reporting skills
  • Experience managing multiple projects and teams
  • Experience leading technical discussions and making architectural decisions
  • Knowledge of data governance and compliance standards
  • Familiarity with AWS, Azure, or GCP and their data services
  • Experience with advanced data analytics tools and techniques
  • Familiarity with machine learning concepts, frameworks, and tools

Benefits

Comp & perks
  • Medical and dental coverage
  • Pension plan
  • 401(k) plan
  • Wide range of paid time off options
  • Professional growth
  • Inclusive culture
  • Reasonable accommodation for qualified individuals with disabilities