Oracle Data Architect – Oil & Gas Data Hub -12 yrs Exp

10 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Role: Oracle Data Architect – Oil & Gas Data Hub

Exp : 12+ yrs

Location : Chennai - Remote

Overview

We are seeking a highly experienced Oracle Data Architect to design, implement, and manage a large-scale Enterprise Data Hub for a major oil & gas refinery. The architect will be responsible for end-to-end data architecture, integration, governance, security, and analytics enablement across refining, maintenance, engineering, and environmental domains.

Key Responsibilities

• Define the architectural blueprint for the refinery’s Oracle-based Data Hub.

• Design conceptual, logical, and physical data models for refining operations.

• Integrate SCADA, PI System, SAP, LIMS, maintenance, and environmental systems.

• Lead ingestion and integration pipelines using ODI, OIC, GoldenGate, and ADW.

• Implement data quality, governance, lineage, cataloging, and master data.

• Ensure refinery-grade security, encryption, and compliance (SOX, ISO 27001).

• Optimize performance for time-series, batch, and analytical workloads.

• Enable BI, reporting, and ML use cases through curated data services.

• Collaborate with refinery engineers, OT teams, and IT architects.

• Oversee implementation, development lifecycle, and operations of the data hub.

Required Qualifications

• 10+ years in data architecture with at least 5 years in Oracle technologies.

• Expertise in Oracle DB, ODI, OIC, GoldenGate, ADB/ADW, and data lakehouse design.

• Experience with refinery or oil & gas operational systems and data models.

• Strong knowledge of SCADA/OT, PI System, SAP PM/MM, and time‑series data.

• Experience with data governance, MDM, metadata, and regulatory compliance.

Preferred Qualifications

• Experience with OCI, Azure, or AWS.

• Familiarity with predictive maintenance and digital transformation.

• Certifications in Oracle cloud or data engineering.

Soft Skills

• Strong communication and stakeholder‑management abilities.

• Ability to translate complex business needs into technical solutions.

• Leadership skills for guiding data engineering teams.

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