Platform Product Manager Jobs at Deloitte with Visa Sponsorship
Platform Product Manager jobs at Deloitte span cloud platforms, enterprise systems, and client-facing product portfolios across its technology transformation and digital consulting practices. The firm has a well-established infrastructure for sponsoring work visas, including H-1B visa and employment-based Green Card pathways, for qualified candidates in this function.
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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 AWS & Databricks Platform Architect 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
We are looking for an experienced Azure Databricks Developer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on the Azure platform. You will work closely with data scientists, analysts, and other engineers to enable data-driven innovation and decision-making across the organization.
- Design and implement secure, scalable Databricks platform architectures on AWS, including workspace deployment, networking, IAM, and PrivateLink connectivity.
- Build and maintain Terraform-based infrastructure automation for AWS and Databricks resources to support standardized and repeatable platform delivery.
- Define and apply platform security patterns across identity, access control, secret management, network security, encryption, and data protection.
- Lead architecture discussions, technical workshops, and enablement sessions with customer and internal teams to guide solution design and implementation.
- Architect multi-account and multi-workspace environments that support strong isolation, shared services, and environment separation across dev, test, and production.
- Partner with stakeholders across security, infrastructure, and data teams to support governance, resiliency, compliance, and operational readiness.
- Provide technical guidance and support to other team members.
- 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 meet deadlines.
- Ability to provide clear guidance to others.
- 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 & 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
- Strong understanding of Databricks classic and serverless workspace deployments on AWS, including S3, IAM, VPC design, and both front-end and back-end PrivateLink connectivity.
- 6yrs+ of hands-on Terraform experience across both AWS and Databricks resources to deploy, configure, and manage secure workspace infrastructure.
- Working knowledge of Databricks platform security architecture, including workspace isolation, identity integration, cluster access controls, secret management, and network security patterns.
- Strong communication skills with ability to independently lead architecture enablement sessions with large customer teams.
- Threat model fluency - ability to articulate protect/detect/respond controls for all seven Databricks threat categories (account takeover, data exfiltration, insider threats, supply chain attacks, Databricks compromise, ransomware, resource abuse).
- Strong understanding of data warehousing concepts and ETL/ELT processes.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- 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.
Preferred
- Prior experience taking customer teams through Databricks security accreditation process.
- Deep understanding of multi-workspace topologies - hub-and-spoke VPC designs, Transit Gateway integration, shared services VPCs, and cross-account network connectivity patterns for environment isolation (dev/staging/prod).
- Knowledge of data exfiltration prevention architectures - S3 VPC endpoint policies, restrictive bucket policies, STS condition keys, regional restrictions, and how Databricks data plane traffic flows interact with these controls.
- Expertise in AWS PrivateLink at scale - including endpoint services, interface endpoints, DNS resolution chains (Route 53 Private Hosted Zones, inbound/outbound resolvers), and troubleshooting connectivity failures across complex multi-account Landing Zone architectures.
- Deep knowledge of IAM trust chains in Databricks deployments - cross-account assume-role patterns, instance profiles vs. credential passthrough, IAM Roles for Service Accounts (IRSA) where applicable, and the Databricks-managed IAM role boundary model.
- Understanding of credential vending and Unity Catalog's storage credential architecture - how temporary credentials are scoped, session policies, external location grants, and how these map to S3 access patterns auditable by CloudTrail.
- Expertise in encryption architecture - CMK (Customer Managed Keys) for workspace storage, DBFS root, managed services (notebook/secret encryption), EBS encryption, and S3 SSE-KMS with key policies restricting decrypt to specific principals; understanding of key rotation implications.
- Understanding of data classification and governance controls - Unity Catalog row/column-level security, attribute-based access control patterns, dynamic views, and how these satisfy regulatory requirements (OCC, FFIEC, SOX).
- Understanding of Databricks control plane/data plane separation - what data leaves the customer's AWS account, what metadata is stored in the Databricks-managed control plane, and how to articulate this to security review boards.
- Knowledge of disaster recovery and high availability patterns - workspace regional failover considerations, metastore replication, cross-region S3 replication for underlying data, and RTO/RPO implications for Databricks-dependent pipelines.
- Familiarity with patch management and image hardening - including the Databricks Runtime AMI lifecycle, custom container support (Docker on Databricks), CIS benchmark applicability, and addressing vulnerability scanning findings on ephemeral compute.
- Understanding of multi-tenancy isolation guarantees - how Databricks isolates workloads between customers at the compute, storage, and network layers, and the additional controls available (dedicated VPCs, dedicated control plane for very large deployments).
- Knowledge of identity federation patterns - SCIM provisioning, SAML/OIDC integration, token lifecycle management, and how Databricks PAT/OAuth tokens interact with enterprise session management.
- Enterprise Secrets Vault Integration: Practical experience architecting interim and native secrets retrieval pipelines, specifically leveraging HashiCorp Vault or CyberArk to manage rotated service principal client secrets and runtime on-premises database credentials.
- Very strong understanding of terraform modules for databricks and aws.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
This position is aligned with the Project Delivery Model. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AWS & Databricks Platform Architect 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
We are looking for an experienced Azure Databricks Developer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on the Azure platform. You will work closely with data scientists, analysts, and other engineers to enable data-driven innovation and decision-making across the organization.
- Design and implement secure, scalable Databricks platform architectures on AWS, including workspace deployment, networking, IAM, and PrivateLink connectivity.
- Build and maintain Terraform-based infrastructure automation for AWS and Databricks resources to support standardized and repeatable platform delivery.
- Define and apply platform security patterns across identity, access control, secret management, network security, encryption, and data protection.
- Lead architecture discussions, technical workshops, and enablement sessions with customer and internal teams to guide solution design and implementation.
- Architect multi-account and multi-workspace environments that support strong isolation, shared services, and environment separation across dev, test, and production.
- Partner with stakeholders across security, infrastructure, and data teams to support governance, resiliency, compliance, and operational readiness.
- Provide technical guidance and support to other team members.
- 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 meet deadlines.
- Ability to provide clear guidance to others.
- 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 & 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
- Strong understanding of Databricks classic and serverless workspace deployments on AWS, including S3, IAM, VPC design, and both front-end and back-end PrivateLink connectivity.
- 6yrs+ of hands-on Terraform experience across both AWS and Databricks resources to deploy, configure, and manage secure workspace infrastructure.
- Working knowledge of Databricks platform security architecture, including workspace isolation, identity integration, cluster access controls, secret management, and network security patterns.
- Strong communication skills with ability to independently lead architecture enablement sessions with large customer teams.
- Threat model fluency - ability to articulate protect/detect/respond controls for all seven Databricks threat categories (account takeover, data exfiltration, insider threats, supply chain attacks, Databricks compromise, ransomware, resource abuse).
- Strong understanding of data warehousing concepts and ETL/ELT processes.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- 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.
Preferred
- Prior experience taking customer teams through Databricks security accreditation process.
- Deep understanding of multi-workspace topologies - hub-and-spoke VPC designs, Transit Gateway integration, shared services VPCs, and cross-account network connectivity patterns for environment isolation (dev/staging/prod).
- Knowledge of data exfiltration prevention architectures - S3 VPC endpoint policies, restrictive bucket policies, STS condition keys, regional restrictions, and how Databricks data plane traffic flows interact with these controls.
- Expertise in AWS PrivateLink at scale - including endpoint services, interface endpoints, DNS resolution chains (Route 53 Private Hosted Zones, inbound/outbound resolvers), and troubleshooting connectivity failures across complex multi-account Landing Zone architectures.
- Deep knowledge of IAM trust chains in Databricks deployments - cross-account assume-role patterns, instance profiles vs. credential passthrough, IAM Roles for Service Accounts (IRSA) where applicable, and the Databricks-managed IAM role boundary model.
- Understanding of credential vending and Unity Catalog's storage credential architecture - how temporary credentials are scoped, session policies, external location grants, and how these map to S3 access patterns auditable by CloudTrail.
- Expertise in encryption architecture - CMK (Customer Managed Keys) for workspace storage, DBFS root, managed services (notebook/secret encryption), EBS encryption, and S3 SSE-KMS with key policies restricting decrypt to specific principals; understanding of key rotation implications.
- Understanding of data classification and governance controls - Unity Catalog row/column-level security, attribute-based access control patterns, dynamic views, and how these satisfy regulatory requirements (OCC, FFIEC, SOX).
- Understanding of Databricks control plane/data plane separation - what data leaves the customer's AWS account, what metadata is stored in the Databricks-managed control plane, and how to articulate this to security review boards.
- Knowledge of disaster recovery and high availability patterns - workspace regional failover considerations, metastore replication, cross-region S3 replication for underlying data, and RTO/RPO implications for Databricks-dependent pipelines.
- Familiarity with patch management and image hardening - including the Databricks Runtime AMI lifecycle, custom container support (Docker on Databricks), CIS benchmark applicability, and addressing vulnerability scanning findings on ephemeral compute.
- Understanding of multi-tenancy isolation guarantees - how Databricks isolates workloads between customers at the compute, storage, and network layers, and the additional controls available (dedicated VPCs, dedicated control plane for very large deployments).
- Knowledge of identity federation patterns - SCIM provisioning, SAML/OIDC integration, token lifecycle management, and how Databricks PAT/OAuth tokens interact with enterprise session management.
- Enterprise Secrets Vault Integration: Practical experience architecting interim and native secrets retrieval pipelines, specifically leveraging HashiCorp Vault or CyberArk to manage rotated service principal client secrets and runtime on-premises database credentials.
- Very strong understanding of terraform modules for databricks and aws.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
This position is aligned with the Project Delivery Model. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
See all 30+ Platform Product Manager Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Platform Product Manager Jobs at Deloitte.
Get Access To All JobsTips for Finding Platform Product Manager Jobs at Deloitte
Frame your portfolio around enterprise platforms
Deloitte's Platform Product Manager roles sit inside consulting engagements, not internal product teams. Tailor your portfolio to show platform work delivered in client-facing or enterprise contexts, not consumer products, so hiring managers can map your experience to billable project work.
Verify Deloitte's LCA filings before applying
DOL's public LCA disclosure database shows the specific job titles and office locations Deloitte has filed Labor Condition Applications for. Cross-reference your target role and city before applying to confirm active sponsorship activity for Platform Product Manager positions at that office.
Target Deloitte's technology and digital practice lines
Sponsorship likelihood is highest in Deloitte's Technology and Digital Transformation practices, where platform roles are most consistently filled. Applying through a consulting-focused business unit signals a clearer project need, which strengthens the internal business case a hiring manager makes when requesting visa sponsorship.
Clarify sponsorship eligibility during the offer stage
Deloitte's offer process moves quickly. Raise your visa sponsorship need before final rounds, not after receiving an offer. Ask the recruiter explicitly whether the role is approved for H-1B or E-3 visa sponsorship, since practice-level budgets sometimes limit sponsorship to specific headcount.
Use Migrate Mate to surface open Platform Product Manager roles
Deloitte posts across multiple portals and practice microsites, making it easy to miss active openings. Use Migrate Mate to browse verified Platform Product Manager positions at Deloitte that are open to visa sponsorship, filtered by role and location in one place.
Prepare for USCIS specialty occupation scrutiny
USCIS increasingly issues Requests for Evidence on consulting H-1B petitions questioning whether the role qualifies as a specialty occupation. Work with Deloitte's immigration team early to document that your Platform Product Manager duties require a specific technical or business degree, not a generalist background.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Platform Product Managers?
Yes, Deloitte sponsors H-1B visas for Platform Product Managers, particularly within its Technology and Digital Transformation practices. Sponsorship is typically initiated after a formal offer and subject to USCIS approval. If you're outside the H-1B cap, Deloitte can file at any time. Cap-subject cases follow the April lottery window, so timing your job search accordingly matters.
How do I apply for Platform Product Manager jobs at Deloitte?
Apply directly through Deloitte's careers portal or through Migrate Mate, which aggregates Deloitte's visa-sponsoring Platform Product Manager openings in one place. Deloitte's application process typically includes a recruiter screen, technical or case-style interviews, and a final panel. Roles are posted at the practice level, so filtering by business unit, Technology or Digital, surfaces the most relevant openings.
Which visa types does Deloitte commonly use for Platform Product Manager roles?
Deloitte sponsors H-1B visas most frequently for this role. Australian citizens are eligible for the E-3 visa, which has no lottery and can be processed at a U.S. consulate without waiting for an annual cap cycle. For long-term pathways, Deloitte supports EB-2 and EB-3 Green Card sponsorship, typically initiated after a period of full-time employment through the PERM labor certification process.
What qualifications does Deloitte expect for Platform Product Manager roles?
Deloitte typically expects a bachelor's degree in computer science, information systems, engineering, or a related technical field, plus demonstrated experience managing platform products in enterprise or consulting environments. Familiarity with cloud infrastructure, API ecosystems, or ERP platforms strengthens your candidacy. For visa purposes, your degree must align specifically with the platform domain the role covers, since USCIS scrutinizes specialty occupation qualifications on consulting petitions.
How do I time my application around the H-1B cap cycle?
USCIS accepts H-1B cap-subject petitions starting April 1 each year, with a lottery held in March for registrations submitted in the preceding weeks. To be eligible, you need a job offer and completed I-129 petition before that window. Targeting Deloitte in the fourth quarter of the prior year gives your recruiter and immigration team enough runway to prepare the filing before the registration deadline.