InfoBeans Technologies - Senior Data Architect - Python/SQL

InfoBeans Inc.; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

InfoBeans Inc. is seeking a Senior Data Architect to lead the design, modernization, and delivery of enterprise-scale AI and data-transformation programs.

You will partner with executives and product teams to architect modern Lakehouse and AI-driven data solutions on Oracle Cloud Infrastructure. The role combines hands-on data engineering with architecture advisory, mentoring senior engineers globally, and shaping platform roadmaps.

Qualifications

• 7–10 years of experience designing, architecting, and delivering enterprise-scale data platforms.
• Hands-on proficiency with Apache Spark, PySpark, Delta Lake, Python, and SQL.
• Deep knowledge of Spark architecture, tuning, and ETL modernization.
• Strong understanding of DataOps, CI/CD, IaC, data governance, and security.
• Excellent executive communication and stakeholder management.

Responsibilities

• Lead architecture, delivery, and modernization of Oracle AI Data Platform transformations.
• Design governance-friendly, lakehouse and real-time data pipelines.
• Develop AI/ML data pipelines, MLOps workflows, and vector-ready datasets.
• Refactor PySpark/ETL workloads for performance and scalability.
• Advise C-level executives and mentor engineers globally.

Skills

PySpark

Spark

Oracle AI Data Platform (AIDP)

OCI

Data Engineering

Delta Lake

Python

SQL

Generative AI

Data Governance

Tools

Oracle AI Data Platform (AIDP)

OCI

Delta Lake

Job description

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)