Principal Software Engineer -Forward Deployment Engineer - Databricks
JPMorgan Chase · Posted Oct 22
Global banking, investment, credit card, mortgage, and asset management services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Chief Data & Analytics Office team delivers mission-critical, production-grade data solutions on Databricks and Snowflake, embedding with lines of business across JPMorgan Chase. The role leads forward-deployed delivery engagements, setting operating models, reference architectures, and governance while balancing innovation with enterprise privacy, security, resiliency, and cost discipline. It also involves leading teams, managing executive stakeholders, and driving measurable business outcomes across a portfolio.
What you will do
- Own and drive a forward-deployed delivery portfolio across multiple lines of business, ensuring predictable execution, measurable outcomes, and scalable reuse of patterns on Databricks and Snowflake.
- Set the delivery strategy and operating model for Forward Deployed Engineering in Hyderabad: engagement intake, prioritization, staffing, delivery governance, and continuous improvement.
- Lead multi-functional programs that span product, platform, infrastructure, security, risk, legal, and compliance—navigating ambiguity and resolving dependencies to deliver at enterprise scale.
- Establish platform-aligned reference architectures for lakehouse/warehouse solutions, including ingestion, transformation, semantic modeling, orchestration, testing, CI/CD, observability, and data product SLAs.
- Drive privacy- and governance-by-design across all delivered solutions, partnering with stakeholders to ensure alignment with global privacy strategy and relevant firmwide initiatives (e.g., consent management, data retention, cross-border data transfer governance).
- Oversee program execution rigor: manage risks, issues, controls, milestones, budget, vendor relationships, and delivery health across the book of work.
- Develop and maintain metrics, KPIs, and dashboards that provide executive-level visibility into delivery status, platform adoption, operational health, incident trends, and compliance posture for deployed solutions.
- Prepare and deliver executive communications (including Operating Committee-level updates) on outcomes, trade-offs, progress, risks, and investment needs.
- Partner with product leadership to align forward-deployed engagements with strategic roadmaps, shaping platform capabilities and reusable accelerators based on field learnings.
- Build and lead high-performing teams: hire, coach, and retain senior engineers; set technical and execution standards; and cultivate a culture of ownership, customer focus, and engineering excellence.
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 7+ years applied experience
- Executive-level stakeholder leadership: demonstrated ability to influence and align senior leaders across business, product, and technology organizations. Experience in leading technology organizations and delivering complex, enterprise-scale programs.
- Deep expertise in Databricks and Snowflake in large enterprises, including architecture, performance tuning, cost management, security patterns, and operational excellence.
- Strong understanding of global data governance, privacy, and regulatory requirements, with the ability to translate them into pragmatic technical architecture decisions and engineering requirements.
- Proven experience with enterprise metadata, catalog, and lineage platforms, plus practical expertise with data contracts and schema governance.
- Strong knowledge of records retention, legal holds, and defensible disposal across structured and unstructured data, including backups and snapshots.
- Ability to manage multiple portfolios and competing priorities, establishing clarity, execution discipline, and transparent decision-making.
- Demonstrated proficiency evaluating and implementing technical solutions, including vendor product knowledge and vendor relationship management.
- Strong understanding of modern data platform architectures (data lakes, data warehouses, lakehouse) and distributed computing frameworks.
- Experience with enterprise-scale cloud-native data platforms, including Databricks and Snowflake, in multi-cloud and hybrid environments with complex security/compliance needs.
- Strong AWS data ecosystem familiarity (e.g., S3 patterns and common analytics services) to integrate end-to-end solutions in the firm’s environment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
Recent coverage
JPMorgan Chase & Co.
One year in, JPMorganChase's Security and Resiliency Initiative is helping to strengthen industries critical to long-term economic growthOctober 19, 2026
JPMorgan Chase & Co.
JPMorganChase announces $3.5 million to help more Boston residentsOctober 14, 2026
JPMorgan Chase & Co.
JPMorganChase expands at 2400 Market Street, bringing Philadelphia employees together, plans to add over 150 local jobsOctober 13, 2026