Data Engineering Manager Jobs at Deloitte with Visa Sponsorship
Data Engineering Manager jobs at Deloitte span its consulting, government, and technology practices, with the firm maintaining a well-established process for sponsoring work visas for this function. If you're targeting a senior data engineering role at a firm that actively supports international talent, Deloitte is worth pursuing.
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Get Access To All JobsAre you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AI and Data Solution Architect, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work you'll do/Responsibilities
- Shape enterprise architecture strategies for complex technology programs, aligning solutions with client blueprints and long-term objectives.
- Design secure, scalable data platforms and AI-driven analytical solutions for capital markets and financial services organizations.
- Translate complex business challenges into innovative technology solutions that deliver measurable business outcomes.
- Develop technology roadmaps by evaluating emerging technologies, platforms, infrastructure, and AI capabilities.
- Architect advanced data pipelines and ETL solutions using Python and PySpark across relational, warehouse, and cloud-native environments.
- Design and manage distributed data processing solutions using Hadoop, Cloudera, distributed file systems, and NoSQL databases.
- Apply AI-assisted development tools, CI/CD practices, and container orchestration to improve quality and accelerate delivery.
- Serve as a senior technical advisor, mentoring development teams and governing architecture and engineering best practices across transformation programs.
The Team
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.
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
- 6+ years of experience in IT architecture, systems design, or a related technical discipline, with experience delivering enterprise-scale data and/or AI solutions in complex environments.
- 6+ years of experience with distributed data platforms in the Hadoop ecosystem, preferably Cloudera, including HDFS, Hive, Pig, Sqoop, and MongoDB.
- Experience delivering AI and data architecture solutions within Financial Services, particularly Capital Markets, Fraud Detection, Risk Analytics, or Regulatory Reporting.
- Strong proficiency in Python and PySpark, including Pandas, NumPy, and Pydantic, as well as modern data architectures such as Lakehouse, Medallion, Kafka, Flink, Data Mesh, and OLAP/OLTP modeling.
- Hands-on experience designing enterprise Generative AI solutions, including RAG pipelines, LLM integration, prompt engineering, multi-agent workflows, and vector databases such as Pinecone, FAISS, or Azure AI Search.
- Experience with CI/CD, Git, Docker, and Kubernetes, along with the organizational skills to manage multiple workstreams, take ownership of complex challenges, and deliver under tight deadlines.
Preferred
- Master's degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related quantitative discipline, and/or equivalent professional experience delivering enterprise AI and data solutions.
- Commercial & Strategic Vision: Familiarity with competitor technology products and services, with a deep understanding of how architectural specialisms contribute to commercial outcomes and Return on Investment (ROI).
- Cloud Platform & Infrastructure: Hands-on experience designing and deploying solutions on major cloud platforms (AWS, Azure, or GCP), including cloud-native data services (Databricks, Snowflake) and applying infrastructure engineering principles alongside software architecture.
- Project & Program Management: Experience managing and delivering complex, multi-workstream technology programs, including stakeholder management, resource planning, and milestone governance.
- Industry Certifications: Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, Databricks Certified Associate, or equivalent cloud and data architecture qualifications.
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AI and Data Solution Architect, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work you'll do/Responsibilities
- Shape enterprise architecture strategies for complex technology programs, aligning solutions with client blueprints and long-term objectives.
- Design secure, scalable data platforms and AI-driven analytical solutions for capital markets and financial services organizations.
- Translate complex business challenges into innovative technology solutions that deliver measurable business outcomes.
- Develop technology roadmaps by evaluating emerging technologies, platforms, infrastructure, and AI capabilities.
- Architect advanced data pipelines and ETL solutions using Python and PySpark across relational, warehouse, and cloud-native environments.
- Design and manage distributed data processing solutions using Hadoop, Cloudera, distributed file systems, and NoSQL databases.
- Apply AI-assisted development tools, CI/CD practices, and container orchestration to improve quality and accelerate delivery.
- Serve as a senior technical advisor, mentoring development teams and governing architecture and engineering best practices across transformation programs.
The Team
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.
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
- 6+ years of experience in IT architecture, systems design, or a related technical discipline, with experience delivering enterprise-scale data and/or AI solutions in complex environments.
- 6+ years of experience with distributed data platforms in the Hadoop ecosystem, preferably Cloudera, including HDFS, Hive, Pig, Sqoop, and MongoDB.
- Experience delivering AI and data architecture solutions within Financial Services, particularly Capital Markets, Fraud Detection, Risk Analytics, or Regulatory Reporting.
- Strong proficiency in Python and PySpark, including Pandas, NumPy, and Pydantic, as well as modern data architectures such as Lakehouse, Medallion, Kafka, Flink, Data Mesh, and OLAP/OLTP modeling.
- Hands-on experience designing enterprise Generative AI solutions, including RAG pipelines, LLM integration, prompt engineering, multi-agent workflows, and vector databases such as Pinecone, FAISS, or Azure AI Search.
- Experience with CI/CD, Git, Docker, and Kubernetes, along with the organizational skills to manage multiple workstreams, take ownership of complex challenges, and deliver under tight deadlines.
Preferred
- Master's degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related quantitative discipline, and/or equivalent professional experience delivering enterprise AI and data solutions.
- Commercial & Strategic Vision: Familiarity with competitor technology products and services, with a deep understanding of how architectural specialisms contribute to commercial outcomes and Return on Investment (ROI).
- Cloud Platform & Infrastructure: Hands-on experience designing and deploying solutions on major cloud platforms (AWS, Azure, or GCP), including cloud-native data services (Databricks, Snowflake) and applying infrastructure engineering principles alongside software architecture.
- Project & Program Management: Experience managing and delivering complex, multi-workstream technology programs, including stakeholder management, resource planning, and milestone governance.
- Industry Certifications: Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, Databricks Certified Associate, or equivalent cloud and data architecture qualifications.
See all Data Engineering Manager Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Manager Jobs at Deloitte.
Get Access To All JobsTips for Finding Data Engineering Manager Jobs at Deloitte
Align your credentials to consulting project delivery
Deloitte's Data Engineering Manager roles are tied to client engagements, not internal product teams. Frame your resume around leading data pipelines for cross-functional projects, meeting delivery timelines, and translating technical requirements into business outcomes for stakeholders.
Target service lines with active data mandates
Deloitte hires Data Engineering Managers most consistently in its Government and Public Services and Technology consulting practices. Searching by practice area, not just job title, surfaces openings that match your background and are more likely to support sponsorship from day one.
Verify your visa category fits the role level
Deloitte sponsors H-1B, H-1B1 visa, and E-3 visas for this role, but the category must match your situation. H-1B1 applies only to Chilean and Singaporean nationals; E-3 is exclusive to Australian citizens. Confirm with USCIS which category applies before your first recruiter conversation.
Clarify sponsorship intent before the offer stage
Deloitte's recruiting process moves quickly once you clear the case interview rounds. Ask your recruiter directly whether the specific practice area and office location you're targeting can support sponsorship for H-1B or E-3, since budget and headcount approvals vary by business unit.
Prepare for the LCA prevailing wage review
Before USCIS can process your H-1B or E-3 petition, Deloitte must file a Labor Condition Application with the DOL certifying your offered salary meets prevailing wage levels for the role and location. Research DOL wage data for Data Engineering Manager positions in your target city in advance.
Use Migrate Mate to find sponsored openings quickly
Deloitte posts Data Engineering Manager roles across multiple practice areas simultaneously, making it hard to filter for sponsored positions on general job boards. Migrate Mate lists verified visa-sponsoring roles so you can focus your applications on openings where sponsorship is already confirmed.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Data Engineering Managers?
Yes, Deloitte sponsors H-1B visas for Data Engineering Manager roles. Deloitte is one of the more active H-1B sponsors in the professional services industry, and Data Engineering is a function where demand for international talent is consistent. Sponsorship decisions are made at the practice and business unit level, so your recruiter is the right person to confirm availability for your specific role and office location.
Which visa types does Deloitte sponsor for Data Engineering Manager roles?
Deloitte sponsors H-1B, H-1B1 visa, E-3 visa, and employment-based Green Card pathways including EB-2 and EB-3 for Data Engineering Manager positions. H-1B is the most broadly available option. H-1B1 is only for Chilean and Singaporean nationals, and E-3 visa is exclusive to Australian citizens. Green Card sponsorship through PERM typically becomes available after you've been in the role for a period and your manager initiates the process.
How do I apply for Data Engineering Manager jobs at Deloitte?
Applications go through Deloitte's careers portal, but many roles also surface on Migrate Mate, which filters specifically for visa-sponsoring positions. At the manager level, Deloitte's process typically includes a recruiter screen, technical and behavioral interviews, and a case study or solution design exercise. Sponsorship eligibility is usually confirmed during or shortly after the offer stage, so it helps to raise the topic with your recruiter before you reach that point.
What qualifications does Deloitte expect for a Data Engineering Manager?
Deloitte's Data Engineering Manager roles typically require a bachelor's degree in computer science, engineering, or a related technical field, along with several years of hands-on experience leading data engineering teams or workstreams. Familiarity with cloud platforms such as AWS, Azure, or GCP, along with experience managing end-to-end data pipeline delivery on client-facing projects, is consistently expected. Consulting experience or the ability to communicate technical solutions to non-technical stakeholders is a significant differentiator at this level.
How do I plan my timeline if I need H-1B sponsorship at Deloitte?
The H-1B cap lottery opens in March each year for an October 1 start date. If Deloitte extends you an offer and you need cap-subject H-1B sponsorship, your start date will align with that October 1 window at the earliest. Deloitte can file for premium processing through USCIS, which reduces the adjudication period to 15 business days, but the lottery registration deadline is fixed. Starting your job search well before the March registration window gives you the most options.