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Manager, Cloud Data Engineer

Deloitte

Cleveland, OHJob$135–265K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$135–265K/yr
Location
Cleveland, OH
Work Authorization
Not specified • Visa sponsorship

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Manager, Cloud Data Engineer will lead the design and delivery of scalable technical solutions for client engagements on Deloitte’s AI & Data team. The role includes leading workstreams, managing distributed teams and client relationships, overseeing deliverable quality, and contributing to hands-on solution delivery, proposals, and business development. The position requires extensive data engineering and cloud-platform experience, with deep Databricks Lakehouse expertise.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringDistributed Data PlatformsEnterprise Big Data PlatformsCloud PlatformsAI/ML PlatformsDatabricks LakehouseDelta LakeDelta Live TablesUnity CatalogAuto LoaderPySparkSpark SQLAzure Data EngineeringAWS Data EngineeringAWS GlueAmazon EMRAmazon EKSAmazon S3AWS LambdaAmazon RDSAmazon OpenSearchAmazon CloudWatchProject LeadershipTeam CollaborationWritten CommunicationVerbal CommunicationAttention to DetailQuality FocusRelationship BuildingTask PrioritizationInterpersonal SkillsMentoringBatch Data PipelinesStreaming Data PipelinesData GovernanceData QualityPlatform Security ControlsClient PresentationsSolution Demonstrations

Qualifications

8+ Years Data Engineering Experience3+ Years Cloud Solutions Experience2+ Years Engagement Leadership ExperienceBachelor's or Master's in Related FieldUp to 50% TravelMaster's Degree

Full job description

Manager, Cloud Data Engineer

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest /advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/13/26.

Work you'll do

As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of scalable technical solutions for client engagements.• Lead small engagements or key workstreams within larger technology transformation programs for clients• Manage cross-functional distributed delivery teams and client relationships across the engagement lifecycle, while contributing to proposal and business development efforts• Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams

A successful candidate would possess these skills:• Ability to work independently and collaborate as part of a team• Effective written and verbal communication skills• Meticulous attention to detail and quality of work product• Ability to build and sustain professional relationships• Ability to lead projects or workstreams• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment• Strong interpersonal skills and professional demeanor• Ability to mentor and provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 8+ years of experience in data engineering and distributed data platforms, including architecting and governing enterprise-scale Big Data, cloud, and AI/ML platforms across Azure, AWS, GCP, and on-premises environments, with deep Databricks Lakehouse expertise: Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark, and Spark SQL.• 3+ years of experience designing and developing Cloud based Azure and AWS-based data engineering solutions, with hands-on experience using services such as AWS Glue, EMR, EKS, S3, Lambda, RDS, OpenSearch and CloudWatch• 2+ years of experience leading and delivering engagements with geographically distributed, cross-functional teams• Bachelor's or master's degree in computer science, engineering, data science, artificial intelligence, information technology, or a related field• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve• Limited immigration sponsorship may be available

Preferred:

  • Master's degree• Experience with Delta Lake, Unity Catalog, or MLflow• Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)• Experience designing batch and streaming data pipelines• Experience with data governance, data quality, or platform security controls• Experience supporting client presentations, proposals, or solution demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134500 to $265100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

How this job compares

Set against the 6,316 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$135–265K/yr
  • Ohio median$111–212K/yr153 salary ranges
  • US median$124–208K/yr4,930 salary ranges

This range's midpoint, $200K, is 24% above the Ohio median midpoint ($161K) — in the middle half of Data Engineer salary ranges in Ohio.

Openings
Olive Jobs lists 230 open Data Engineer jobs in Ohio and 6,316 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Ohio
Experience
This posting asks for at least 8 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,498 postings).
Education
This posting asks for a bachelor's degree; 2,401 of the 6,316 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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