What are the responsibilities and job description for the Data Foundations Engineer position at Deloitte?
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Foundations 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.
Work You'll Do/Responsibilities
The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerce products. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals in data modeling and scalable systems.
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.
AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Qualifications
Required
Work You'll Do/Responsibilities
The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerce products. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals in data modeling and scalable systems.
- 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
- Design and implement scalable batch and near-real-time data pipelines.
- Develop ETL/ELT workflows optimized for performance and cost.
- Implement dimensional data models and standardize business metrics.
- Instrument APIs and user journeys to capture behavioral and transactional data.
- Ensure data integrity, governance, privacy, and compliance.
- Maintain reliability and availability of mission-critical systems.
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.
AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Qualifications
Required
- 8 years of experience in data engineering for analytics or ML systems.
- Strong SQL proficiency.
- 8 yrs experience in Python, Scala, or Java.
- Hands-on experience with Spark, Kafka, and Airflow (or similar).
- Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg).
- Experience with AWS, Azure, or GCP.
- Comfortable participating in rotating on-call.
- Experience with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset or Tableau.
- Familiarity with CI/CD, data observability, infrastructure-as-code.
- Exposure to MLOps and GenAI/RAG pipelines.
- Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG).
- Experience in FinTech, Wallet, or Payments domain.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Hybrid role - on-site Tue/Wed/Thu
Salary : $119,000 - $198,400