Senior Data Architect

InfoBeans; Bengaluru Urban; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

InfoBeans in Bengaluru seeks a Senior Data Architect to lead the design and modernization of enterprise AI and data transformations on Oracle Cloud. You will architect Lakehouse, AI-ready data solutions, and migrate legacy workloads while guiding cross-functional teams and advising executives.

The role requires deep Spark/PySpark expertise, strong Python/SQL skills, and experience with cloud data platforms. You will mentor engineers and partner with product leaders to shape platform roadmaps.

Qualifications

• 10–12+ years of experience designing, architecting, and delivering enterprise-scale data platforms.
• Expert in Apache Spark, PySpark, Delta Lake, Python, SQL, and cloud data platforms.
• Deep expertise in Spark distributed systems, tuning, performance engineering, and ETL modernization.
• Solid understanding of networking, DataOps, CI/CD, IaC, data governance and security.
• Excellent executive communication and customer-facing advisory skills.

Responsibilities

• Lead the architecture, delivery, and modernization of Oracle AI Data Platform transformations and migrations.
• Design and build AI-ready, governed data architectures including Lakehouse and real-time streaming.
• Develop AI/ML data pipelines, MLOps workflows, vector-ready datasets, APIs, and automation frameworks.
• Refactor and optimize PySpark and ETL workloads for performance and scale.
• Serve as a trusted advisor to C-level executives and mentor senior engineers globally.

Skills

Apache Spark

PySpark

Delta Lake

Python

SQL

MLOps

Cloud architectures

Data governance

Tools

Oracle Cloud Infrastructure

Oracle AI Data Platform

Job description

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

• 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.