InfoBeans Technologies - Senior Data Architect - Python/SQL

Role : Senior Data Architect.

Location : Bangalore.

Experience : 7 - 10 years.

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

Job Description 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 innovative 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

• 7 - 10 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.

(ref:hirist.tech)