US E-Consulting Services - Lead Data Engineer II - Manager, Cloud Data Engineer - AI & Engineering/AI & Data - 374177

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.