Data Platform Support Lead

Position Overview Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As a Data Platform Support Lead, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical financial services initiatives - without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. The Project Talent Model (PTM) is a talent model tailored specifically for long-term, onsite client service delivery. Recruiting for this role ends on 12/14/2026. Work location: Remote – US Based Work You'll Do / Responsibilities As a Data Platform Engineer, you’ll help design, build, and improve data platforms that enable clients to manage and use data effectively. You’ll work with the client and Deloitte teams to translate business needs into scalable technical solutions, contribute across the delivery lifecycle, and support the development of junior team members.

• Design and implement data platform components, including ingestion, transformation, storage, and access patterns.
• Build and maintain data pipelines using cloud-based services and modern data engineering tools.
• Apply engineering practices for data quality, testing, monitoring, security, and performance.
• Collaborate with architects, analysts, and client stakeholders to turn requirements into technical designs and deliverables.
• Troubleshoot platform and pipeline issues and recommend practical improvements.
• Contribute to technical documentation, code reviews, and team knowledge sharing.

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 manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines

The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and 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 and data platforms. Our delivery models are tailored to meet each client's unique requirements. 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

• 5+ years of experience in data engineering, data platform development, or a related field.
• 4+ years of hands-on experience building and supporting data pipelines using SQL and a programming language such as Python or Scala.
• 3+ years of experience with a cloud data platform or major cloud provider, such as AWS, Azure, or Google Cloud.
• 3+ years of experience with data modeling, data warehousing, or distributed data processing.
• 2+ years of experience using version control and collaborative software development practices, such as Git and code reviews.
• 2+ years of experience applying data quality, testing, monitoring, or observability practices to production data solutions.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, and/or equivalent professional experience.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

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 $104700 to $179900 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.