Role: Senior Data Architect

Location: Not specified

Experience: 10-12+ years

Key Skills: PySpark, Spark, Oracle AI Data Platform (AIDP), OCI, Data Engineering, Delta Lake, Python, SQL, Generative AI, Data Governance

We are seeking a Senior Data Architect to lead the design, modernization, and delivery of enterprise-scale AI and data-transformation programs. In this strategic, customer-facing role, you will partner directly with executive leaders and product teams to architect modern Lakehouse and AI/ML-driven data solutions on Oracle Cloud Infrastructure and Oracle AI Data Platform, combining hands-on data engineering with technical architecture and advisory.

What will your role look like

- Lead the architecture, delivery, and modernization of enterprise Oracle AI Data Platform transformations and migrations.
- Design and build AI-ready, governed data architectures including Lakehouse, Medallion, and real-time streaming solutions.
- Develop AI/ML and Generative AI data pipelines, MLOps workflows, vector-ready datasets, APIs, and automation frameworks.
- Refactor and optimize PySpark and ETL workloads for performance, cluster sizing, partitioning, and memory management at scale.
- Serve as a trusted advisor to C-level executives, mentor senior engineers globally, and collaborate with product teams to shape platform roadmaps.

Why you will love this role
- Opportunity to lead high-impact AI and data-transformation initiatives for major enterprise customers globally.
- Collaborative and cutting-edge environment working directly with Oracle product managers, architects, and engineering leaders.
- Culture that encourages technical thought leadership, global mentoring, and defining reusable engineering standards.




- Direct involvement with cutting-edge technologies including Generative AI, LLMs, RAG architectures, and autonomous agents.

We would like you to bring along
- 10-12+ years of experience designing, architecting, and delivering enterprise-scale data platforms.
- Expert hands-on proficiency in Apache Spark, PySpark, Delta Lake, Python, SQL, and modern cloud data platforms.
- Deep expertise in Spark distributed systems architecture, tuning, performance engineering, and ETL modernization.
- Solid understanding of networking concepts, DataOps, CI/CD, Infrastructure as Code, data governance, and security.
- Outstanding executive communication, stakeholder management, and customer-facing technical advisory skills.

About us InfoBeans, founded in 2000, is a publicly listed company on the NSE & BSE in India, specializing in AI-first software development and implementation for enterprise clients to solve complex business challenges. We strive to deliver value-accretive services over the long term, working as an extension of our clients teams.

We are 1700+ members across our offices in India, the USA, Europe, and the Middle East. We believe that InfoBeans is our team s second home and work hard every day to build a culture that fosters collaboration and excellence. InfoBeans Foundation, our CSR arm, helps underprivileged sections of society become employable through our free one-year training programs.

Creating WOW! is not just a tagline for us; it s our religion!

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Architect - Oracle Customer Success Services (CSS) (Bengaluru)
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📍 Bengaluru