Manager, Cloud Data Engineer
About The Position
Join Deloitte’s AI & Engineering team to transform technology platforms, drive innovation, and help clients improve financial performance, accelerate digital ventures, and grow through innovation. The team builds, deploys, and operates integrated solutions across software, data, AI, networks, and hybrid cloud infrastructure, helping clients modernize technology and data platforms and transform mission-critical operations. As a Lead Data Engineer II on the AI & Data team, you will lead the design and delivery of scalable technical solutions for client engagements. You will lead small engagements or key workstreams in larger technology transformation programs, manage distributed cross-functional delivery teams and client relationships throughout the engagement lifecycle, and contribute to proposal and business-development efforts. You will oversee the quality of team deliverables and recommendations while also contributing to hands-on solution delivery. The role requires at least eight years of data engineering and distributed data platform experience, including enterprise-scale Big Data, cloud, and AI/ML platforms, and deep Databricks Lakehouse expertise. The position may require travel up to 50% on average. Recruiting for this role ends on 11/13/26. Limited immigration sponsorship may be available.
Requirements
- At least 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.
- Deep Databricks Lakehouse expertise, including Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark, and Spark SQL.
- At least 3 years of experience designing and developing cloud-based Azure and AWS data engineering solutions.
- Hands-on experience with AWS Glue, EMR, EKS, S3, Lambda, RDS, OpenSearch, and CloudWatch.
- At least 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 assigned work and clients or industries served.
- Ability to work independently and collaboratively.
- 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, dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to mentor and provide clear guidance to others.
Nice To Haves
- Master’s degree.
- Experience with Delta Lake, Unity Catalog, or MLflow.
- Experience with 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.
Responsibilities
- Lead the design and delivery of scalable technical solutions for client engagements.
- Lead small engagements or key workstreams within larger client technology transformation programs.
- Manage geographically distributed, cross-functional delivery teams and client relationships throughout the engagement lifecycle.
- Contribute to proposal and business-development efforts.
- Oversee the quality of team deliverables and recommendations.
- Contribute to hands-on solution delivery across distributed teams.
- Mentor others and provide clear guidance.
Benefits
- May be eligible to participate in a discretionary annual incentive program, subject to the program’s rules and applicable factors.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, mentorship, and opportunities to build new skills.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
