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The Role
Leads regional engineering for a global data-mesh platform, defining governance, authorization, data-product standards, lineage, auditability, and secure query execution. Architects engine-agnostic access controls, policy-as-code, identity integrations, and row- and column-level entitlements. Builds critical platform components, coordinates delivery across time zones, mentors senior engineers, hires and develops talent, and partners with risk, compliance, privacy, and data owners. Ensures AI-enabled data access is governed, traceable, secure, and compliant.
Summary Generated by Built In
We’re looking for a tech leader ready to focus on Data governance, authorization, and data-mesh architecture — with regional technical leadership across the India team
As a Senior Principal Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets - Markets Data Lake (MDL) team, you will be the technical authority for how data is governed, secured, and authorized across this mesh, and you will provide regional technical leadership across the India team — one of MDL's primary engineering hubs. You will set direction, grow senior talent locally, and act as the senior technical anchor in-region, while staying hands-on with the platform's most critical governance and authorization components.
Job responsibilities
As a Senior Principal Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets - Markets Data Lake (MDL) team, you will be the technical authority for how data is governed, secured, and authorized across this mesh, and you will provide regional technical leadership across the India team — one of MDL's primary engineering hubs. You will set direction, grow senior talent locally, and act as the senior technical anchor in-region, while staying hands-on with the platform's most critical governance and authorization components.
Job responsibilities
- Serve as the senior technical leader in-region for the India-based MDL engineering team, setting technical direction and ensuring alignment with the global platform roadmap. Grow and mentor senior, staff, and up-and-coming engineers in India; establish a strong local engineering culture, review practices, and career-development pathways.
- Own regional delivery of major platform initiatives end-to-end, coordinating across time zones with global stakeholders and partner teams. Build in-region depth in governance, authorization, and data-mesh capabilities so the India team owns critical platform domains, not just execution.
- Represent MDL locally — interviewing and hiring, onboarding, and raising the engineering bar across the India hub. Bridge global and regional priorities, ensuring the India team's work is visible, influential, and tightly integrated with the broader organization.
- Architect the data-mesh platform: define what a "data product" is on MDL — its contracts, SLAs, schemas, ownership, lifecycle, and interoperability standards — and build the self-serve platform capabilities domain teams use to publish them. Establish federated computational governance: design the policies-as-code framework that lets central standards (security, quality, entitlements, retention) be enforced automatically across independently-owned domains.
- Build the data-product substrate: catalog, discovery, lineage, versioning, and distribution across the platform's query engines, so consumers can find and query products through the semantic layer and NL-query interfaces without bypassing controls.
- Keep the architecture engine-agnostic — design governance, entitlements, and data-product contracts to work uniformly across current and future storage and compute engines rather than being tied to any single technology. give domains freedom to model and evolve their products while guaranteeing platform-wide consistency and safety.
- Own the governance model end-to-end: data classification, metadata management, lineage, data quality, retention, and audit across every MDL data product. Codify governance as code — schema/contract validation, quality gates, and policy checks embedded in publishing and CI/CD pipelines so governance is enforced, not advisory. Drive lineage and auditability: every query and every distributed dataset must be traceable, correlated, and reproducible for regulatory and internal audit needs.
- Partner with data owners, risk, compliance, and privacy to translate regulatory and firm obligations into automated platform controls. Own the authorization architecture for MDL: fine-grained, row- and column-level entitlements enforced consistently across every query engine and the query/agent layer (nl_query/execute_query).
- Design a scalable entitlements model — attribute/role/policy-based access control, entitlement propagation from source systems, and least-privilege by default. Guarantee "no query bypasses entitlements": ensure NL-generated and raw SQL alike are planned and executed within the caller's entitlement scope, with credentials brokered securely.
- Harden identity and access: integration with enterprise IdP/OAuth2, token lifecycle, secrets handling, and full access audit trails. Set technical direction across multiple teams via design docs, RFCs, and architecture reviews focused on governance, security, and mesh interoperability. Stay hands-on — personally build reference implementations for the highest-risk governance/authorization components and set the pattern others follow. Mentor and grow senior and staff engineers globally and in-region; establish best practices for secure-by-design data engineering.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Software engineering experience with significant time architecting large-scale data platforms.
- Demonstrated regional/site technical leadership — anchoring a distributed engineering team (ideally in India), growing senior talent, and delivering across time zones.
- Deep expertise in data governance and authorization at scale: fine-grained entitlements (row/column-level security), ABAC/RBAC/policy-based access control, data classification, lineage, and audit.
- Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.
- Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
- Strong experience designing secure, governed data platforms on the cloud, including identity/OAuth2 token-based authorization — applied in an engine-agnostic way rather than tied to a single warehouse or lake technology.
- Data-mesh or federated data-platform experience — designing data products, data contracts, and federated/computational governance.
- Strong SQL and data modeling; experience with a semantic/metrics layer.
- Proficiency in a primary backend language (Python, Java, Go, or similar) and policy-as-code tooling.
- Excellent cross-time-zone communication, design-doc, and stakeholder-management skills.
Preferred qualifications, capabilities, and skills
- Capital markets / financial services data experience (FX, rates, credit, equities, reference data) and familiarity with the associated regulatory and data-privacy landscape.
- Experience building and scaling engineering teams within a global delivery / India hub model.
- Experience with data catalogs, lineage, and governance tooling (e.g. OpenLineage/DataHub, Collibra, Immuta/Okera-style policy engines).
- Experience securing natural-language / LLM-agent data access (MCP) — ensuring generated SQL is entitlement-safe and deterministic.
- Familiarity with a range of storage/compute engines and lakehouse formats (e.g. Iceberg, Delta, Hudi) and streaming/batch pipelines (Kafka, Spark, Flink), with the judgment to choose the right tool per use case.
- Infrastructure-as-code (Terraform) and mature CI/CD with embedded policy gates.
Skills Required
- Formal software engineering training or certification and 10+ years of applied experience
- Software engineering experience architecting large-scale data platforms
- Regional or site technical leadership experience for distributed engineering teams, preferably in India
- Expertise in data governance and authorization at scale, including row- and column-level security, ABAC, RBAC, policy-based access control, classification, lineage, and audit
- Experience designing and scaling agentic AI-enabled development patterns with governance for human review, traceability, auditability, and sensitive data handling
- Understanding of responsible AI, security, resiliency, data sensitivity, and risk-based governance
- Experience designing secure, governed cloud data platforms using identity and OAuth2 token-based authorization
- Data-mesh or federated data-platform experience, including data products, data contracts, and federated governance
- Strong SQL and data-modeling skills, including experience with a semantic or metrics layer
- Proficiency in Python, Java, Go, or a similar backend language, plus policy-as-code tooling
- Excellent cross-time-zone communication, design-document, and stakeholder-management skills
- Capital markets or financial services data experience and regulatory or data-privacy familiarity
- Experience building engineering teams in a global delivery or India hub model
- Experience with data catalogs, lineage, and governance tools such as OpenLineage, DataHub, Collibra, Immuta, or Okera
- Experience securing natural-language or LLM-agent data access using MCP
- Familiarity with Iceberg, Delta, Hudi, Kafka, Spark, and Flink
- Infrastructure-as-code experience with Terraform and mature CI/CD pipelines with policy gates
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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The Company
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
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