Senior Principal Forward Deployed Engineer
On-siteMumbai, Maharashtra, India
Job Summary
Architect, modernize, and operationalize enterprise-scale data platforms on the Oracle AI Data Platform for largest enterprise customers. Lead strategic AI and data transformation programs by working directly with CIOs, CDOs, CTOs, and chief architects to accelerate AI adoption and migrate complex workloads. Define reusable delivery patterns, migration accelerators, and engineering best practices that shape global delivery excellence. This senior customer-facing engineering leadership role requires a strong blend of hands-on expertise, executive-level consulting, and technical mentorship to deliver scalable, secure, and governed data platforms supporting enterprise-wide innovation.
Required Qualifications
- 10 to 12+ years of experience designing, delivering, and modernizing enterprise-scale data platforms
- Proven experience as a Forward Deployed Engineer, Principal Solution Architect, Consulting Engineer, Professional Services technical leader, or similar senior customer-facing engineering role
- Expert knowledge of Oracle AI Data Platform or equivalent modern cloud data platforms
- Extensive hands-on experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python, SQL, and Scala or Java
- Deep expertise in Apache Spark architecture, configuration, optimization, tuning, distributed systems, large-scale data processing, and performance engineering
- Demonstrated success migrating enterprise analytics platforms and refactoring Spark, ETL, and data engineering workloads from Databricks, Snowflake, Azure, AWS, or on-premises environments
- Strong understanding of DataOps, CI/CD, Infrastructure as Code, cloud security, data governance, metadata management, lineage, and observability
- Experience designing lakehouse, medallion architecture, streaming data, batch processing, real-time analytics, and AI-ready data platform solutions
- Ability to lead complex customer engagements with executive stakeholders, technical architects, engineering teams, and cross-functional delivery groups
- Outstanding executive communication, stakeholder management, technical storytelling, and customer advisory skills
Desired Qualifications
- OCI Architect, OCI Data Engineer, OCI Data Scientist, Oracle AI, or related cloud certifications
- Experience with LLMs, Retrieval-Augmented Generation, vector databases, AI agents, MLOps, and production Generative AI architectures
- Experience leading multi-petabyte data modernization programs across globally distributed delivery teams
- Industry expertise in Financial Services, Healthcare, Public Sector, Telecommunications, Manufacturing, Retail, or other enterprise-heavy sectors
- Experience creating reusable engineering standards, migration playbooks, automation frameworks, reference architectures, and field enablement assets
- Recognized thought leadership in cloud data engineering, AI platforms, enterprise architecture, or data transformation programs
- Experience influencing product direction through customer advocacy, field feedback, and collaboration with product and engineering teams
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