Data Architect

Data Architect

Location: Bangalore

Experience: 6+ Years

Employment Type: Full Time

Work Mode: Onsite

Job Description

Design and implement modern data platforms using Oracle AIDP (AI Data Platform), Oracle Cloud Infrastructure (OCI), Oracle Autonomous Database, and Oracle Data Integration tools.

Architect and operationalize Medallion Architecture (Bronze, Silver, Gold layers) for structured and unstructured data pipelines.

Lead the development of data lakehouse solutions integrating batch and streaming data using Apache Kafka, Spark, and Databricks.

Define and enforce data governance, metadata management, and data quality frameworks.

Develop and optimize PySpark applications using Spark SQL, DataFrame APIs, and distributed computing techniques.

Collaborate with business stakeholders to gather requirements and translate them into scalable data models and pipelines.

Mentor and guide data engineers, analysts, and architects across multiple teams.

Evaluate emerging technologies and lead proof-of-concept initiatives.

Ensure compliance with security, privacy, and regulatory standards in data architecture.

Design, develop, and deploy AI/ML solutions for business use cases.

Work with cloud-based ML platforms, including OCI Data Science.

Required Skills

Oracle AIDP (AI Data Platform)

Oracle Cloud Infrastructure (OCI)

Oracle Autonomous Database

OCI Data Integration

OCI Data Flow

Oracle GoldenGate

PySpark

Apache Spark

Databricks

Apache Kafka

Data Lakehouse Architecture

Medallion Architecture

Data Modeling

ETL/ELT Design

Metadata Management

Data Governance

Data Cataloguing

Data Lineage

RBAC

Encryption and Compliance

AI/ML Concepts and Model Deployment

Oracle Database Development

Experience Required

6+ years of experience in Data Lakehouse Architecture and Design.

4+ years of hands-on experience in PySpark development.

Extensive experience with Databricks and Spark.

Experience with Oracle AIDP, Autonomous Database, OCI, OCI Data Integration, OCI Data Flow, and Oracle GoldenGate.

Experience in Data Preparation, Analytics Integration, Metadata Management, and Data Governance.

Experience in Data Cataloguing, Lineage Tracking, RBAC, Encryption, and Compliance.