Data Engineer – Manager – Consulting

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

Posted 10/9/2026full-timeUnited StatesMid-LevelSenior💰 $125,500 - $230,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on cloud data solutions and analytics, while effectively managing teams and client relationships. Proficient in designing scalable data architectures and ensuring data quality and security throughout the data lifecycle.

Highest-signal resume keywords

Data EngineeringCloud Data SolutionsData ArchitectureTeam LeadershipClient Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingData Pipeline DevelopmentCloud Analytics SolutionsData TransformationData GovernanceAdvanced Data AnalyticsDocumentation CreationRisk Mitigation StrategiesTechnical Discussion Leadership

Soft Skills

Problem-SolvingCommunicationInterpersonal SkillsMentoringCollaboration

Tools & Technologies

AWSAzureGCPData Services

Industry Keywords

Data QualityData IntegrityData SecurityEngagement EconomicsChange Management

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

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 data engineering solutions on cloud platforms
Oversee complex cloud analytics solution architecture and alignment with business objectives
Manage and mentor a team of data engineers
Collaborate with clients to understand analytics needs and deliver tailored solutions
Ensure data quality, integrity, and security 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 trends and technologies in data engineering, cloud computing, and analytics
Travel regularly based on client needs may be required

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, or a related field required
Typically, no less than 4–6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics
Strong background in data architecture and design, with experience in building complex cloud analytics solutions
Experience in leading and managing teams, with a focus on mentoring and developing talent
Excellent problem-solving skills and ability to work independently and as part of a team
Strong communication and interpersonal skills, with a focus on client management
Ability to align data engineering initiatives with organizational goals and drive strategic vision
Experience managing multiple projects and teams
Proficiency engaging stakeholders, including executives
Skills guiding clients through change processes related to data transformation and technology adoption
Ability to identify risks in data projects and develop mitigation strategies
Experience leading technical discussions and making architectural decisions
Proficiency creating comprehensive documentation and reports
Experience with advanced data analytics tools and techniques
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
Knowledge of data governance and compliance standards

Benefits

Comp & perks

Medical and dental coverage
Pension plan
401(k) plan
A wide range of paid time off options
Professional growth
Personal fulfillment
Inclusive culture