Principal Software Engineer -Forward Deployment Engineer Reframe

• 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.
• 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.

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.