Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Recruiting for this role ends on Sep, 30th 2026. Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.

Key responsibilities include:

• Architect, build, and operate scalable batch and near-real-time data pipelines on AWS.
• Design robust ingestion patterns from source systems into S3 and into Snowflake.
• Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
• Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
• Build reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.
• Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.
• Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes The Team AI& Data - 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. Qualifications Required

• 7+ years of experience as a Data Engineer delivering producti.

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