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Principal Data Engineer

Oracle Nashville, TN

Nashville, TN

Today

Full time Senior Analytics Big Data

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Job Description

The Principal Data Engineer role at Oracle, based onsite in Nashville, TN, leads Data Engineering, BI, and Analytics initiatives for OCI, combining hands-on data engineering with program leadership to design scalable data platforms and reporting solutions across Oracle Cloud Infrastructure.

RESPONSIBILITIES — DATA ENGINEERING & ANALYTICS LEADERSHIP

Design, build, and scale data pipelines that aggregate information from multiple OCI systems and services.
Develop robust data models, datasets, and reporting frameworks that provide actionable insights for engineering, operations, customer success, and executive leadership.
Architect and implement scalable analytics platforms that support strategic customer programs and operational decision-making.
Design and maintain enterprise-grade data solutions that improve visibility into customer adoption, operational health, service performance, and business outcomes.
Build and automate data ingestion, transformation, and reporting processes to reduce manual effort and improve data accuracy.
Establish data quality, governance, lineage, and observability standards across critical business datasets.
Partner with engineering teams to define telemetry, instrumentation, and data collection strategies.
Perform deep analysis of large and complex datasets to identify trends, opportunities, risks, and operational bottlenecks.
Drive adoption of modern data engineering best practices, tools, and technologies across the organization.

RESPONSIBILITIES — BUSINESS INTELLIGENCE & EXECUTIVE REPORTING

Design and deliver Business Intelligence solutions that provide actionable visibility into customer health, operational performance, and strategic business objectives.
Develop executive dashboards, scorecards, KPI frameworks, and reporting solutions used by senior leadership for decision-making.
Partner with business leaders to define success metrics, operational indicators, and reporting requirements.
Build scalable semantic models and reporting datasets that enable self-service analytics across multiple organizations.
Transform raw operational and engineering data into meaningful business insights and recommendations.
Standardize reporting methodologies and establish trusted sources of truth for key organizational metrics.
Support strategic planning, investment decisions, and customer engagement initiatives through data-driven analysis.

RESPONSIBILITIES — TECHNICAL PROGRAM MANAGEMENT & STRATEGIC EXECUTION

Lead large, complex, cross-functional initiatives spanning engineering, product, operations, and executive leadership teams.
Break down ambiguous business problems into actionable technical workstreams and measurable deliverables.
Develop functional specifications and drive successful execution from concept through delivery.
Identify process gaps and establish scalable mechanisms that improve organizational efficiency and execution.
Manage program schedules, dependencies, risks, and stakeholder communications.
Anticipate bottlenecks, proactively manage escalations, and balance technical constraints with business priorities.
Drive alignment across OCI organizations toward shared objectives and customer outcomes.
Lead interactions with cross-functional teams consisting of Engineers, Product Managers, Architects, Customer Success leaders, and Executive Leadership.
Thrive in a fast-paced, highly ambiguous environment while maintaining focus on delivering measurable business value.

RESPONSIBILITIES — DATA PROCESSING & PIPELINING

Mentors less experienced team members to identify data requirements and business objectives of a project or initiative.
Provides expertise on the design and participates in building of data infrastructure to optimize data processing from a variety of data sources.
Independently analyzes, designs, and troubleshoots data flows based on business needs.
Participates in architecture, performance, and security reviews of the technical solution.
Adjusts data collection processes that involve indexing and query optimizations for optimal performance.
Builds ETL pipelines to support efficient and scalable data collection and extraction.
Engages with and holds upstream and downstream teams accountable for predefined SLAs.
Manages relationships with data providers.

RESPONSIBILITIES — DATA GOVERNANCE

Independently designs and implements data governance policies and procedures for data handling to maintain consistency, integrity, accuracy, and reliability.
Leads the redaction of PII and PHI data to ensure privacy and security compliance.
Ensures minimal data collection and usage in accordance with data minimization principles.
Implements data security measures to protect data from unauthorized access or disclosure and escalates issues as needed.
Ensures data compliance with relevant laws, regulations, and industry standards.

RESPONSIBILITIES — DATA VALIDATION & QUALITY ASSURANCE

Contributes to the design and implementation of rigorous data validation and integrity checks to mitigate quality issues.
Mentors team members to define data annotation and labeling processes to ensure data quality.
Identifies opportunities for automation of data validation and governance processes.
Independently corrects deviations and non-conformance when identified.

RESPONSIBILITIES — DATA PIPELINE DESIGN

Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable data pipeline architectures.
Implements advanced data storage solutions to store processed data for analysis and access.
Mentors less experienced team members to manage day-to-day data pipeline and storage operations.

RESPONSIBILITIES — DATA SOLUTIONS ENGINEERING

Works independently and collaboratively in an agile environment to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost-effective, and reliable.
Reviews runnable code and supports testing and debugging with junior team members.
Evaluates new technologies to enhance data solutions.
Enforces and documents code standards and guidance within the team.
Creates documentation for design decisions and gathers broader architectural feedback before implementing.
Gathers data and evidence to secure necessary approvals.

CORE RESPONSIBILITIES — PLANNING & EXECUTION

Manages and coordinates moderately complex tasks, ensuring timely completion and alignment with requirements for a moderately sized project.
Delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adapting plans as resources or timelines shift.

CORE RESPONSIBILITIES — COLLABORATION & PARTNERSHIP

Collaborates across the organization to align on expectations and achieve shared objectives.
Understands business leaders, stakeholders, and customers to ensure solutions meet their needs.
Fosters inclusivity by seeking diverse perspectives and ensuring others feel heard and respected.

CORE RESPONSIBILITIES — PROBLEM SOLVING

Identifies and addresses moderately complex issues by analyzing data to determine solutions.
Escalates unresolved or critical issues with a thorough assessment and suggests solutions.
Documents problem solving strategies and contributes to improvements.

CORE RESPONSIBILITIES — CONTINUOUS LEARNING

Pursues learning opportunities to expand knowledge and stay abreast of industry trends.
Seeks feedback and training to improve skills.
Coaches and mentors junior teammates, promoting knowledge sharing.

CORE RESPONSIBILITIES — CONTINUOUS IMPROVEMENT

Develops ideas and collaborates on process improvements across teams, evaluating impact for stakeholders.
Solicits feedback on alternative approaches for ongoing improvement.

CORE RESPONSIBILITIES — PERFORMANCE AND DEVELOPMENT

Contributes to the talent development pipeline by participating in candidate interviews and providing hiring recommendations.

REQUIREMENTS

BS degree or equivalent experience in Computer Science, Engineering, Information Systems, Data Science, or related field
7+ years of experience in Data Engineering, Analytics Engineering, Technical Program Management, Software Engineering, or related technical roles
Strong experience designing, building, and maintaining large-scale data pipelines, ETL/ELT frameworks, and cloud-based data platforms
Experience developing BI solutions, executive dashboards, KPI frameworks, and operational reporting systems
Advanced SQL skills and experience working with large-scale datasets
Experience with data modeling, data warehousing, analytics platforms, and reporting architectures
Strong understanding of cloud technologies, distributed systems, and software development lifecycles
Demonstrated ability to analyze complex datasets and translate findings into actionable business recommendations
Experience partnering with engineering, product, operations, and business stakeholders to define requirements and deliver scalable data solutions
Strong written and verbal communication skills across technical and executive audiences
Proven ability to lead large, cross-functional initiatives and drive execution across organizational boundaries
MS degree or equivalent experience in Computer Science, Data Engineering, Analytics, or related field
10+ years of experience in Data Engineering, Analytics Platforms, BI, Technical Program Management, or Software Development
Experience building enterprise-scale data lakes, data warehouses, and analytics platforms
Experience with cloud-native architectures, distributed systems, and OCI services
Experience with Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow, or similar platforms
Experience with Oracle Analytics Cloud (OAC), Tableau, Power BI, Looker, or comparable BI platforms
Experience implementing data governance, data quality, metadata management, and observability frameworks
Experience developing self-service analytics solutions and semantic data models
Experience working directly with large enterprise customers and strategic cloud initiatives

TECHNOLOGIES

Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow
Oracle Analytics Cloud (OAC), Tableau, Power BI, Looker
SQL, Oracle Cloud Infrastructure (OCI)

WHAT SUCCESS LOOKS LIKE

Trusted data platforms and BI solutions become the foundation for decision-making across OCI Strategic Customer Engineering.
Executive leaders have real-time visibility into customer outcomes, operational performance, and business health.
Manual reporting processes are automated and replaced with scalable, self-service analytics capabilities.
Strategic customer programs execute more effectively through improved data accessibility, insight generation, and operational transparency.
Cross-functional teams align around a common set of metrics, objectives, and business outcomes.
Data-driven insights directly influence customer success, operational excellence, and OCI growth initiatives.

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2d ago

Oracle Cloud Developer – Integrations Engineer

ODL, Inc. Zeeland, MI

Zeeland, MI

2d ago

Full time APIs Business Systems Cloud

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Job Description

The Oracle Cloud Developer and Integrations Engineer role at ODL focuses on designing, building, and supporting enterprise integrations across ODL's Oracle Cloud Applications and external systems. The position emphasizes secure, scalable end-to-end integration solutions using Oracle Integration Cloud and related technologies.

Position Overview

This role is responsible for designing, developing, and supporting enterprise integrations across ODL Oracle Cloud Applications and internal or external business systems. The focus is on delivering secure, scalable, and reliable end-to-end integration solutions using Oracle Integration Cloud and related technologies. The position collaborates with cross-functional teams to analyze requirements, architect and implement integration strategies, troubleshoot issues, and drive continuous improvement.

Responsibilities

Manage Oracle Integration Cloud to support integrations within the ODL application architecture.
Oversee security posture and configuration within Oracle Cloud Infrastructure.
Self-manage priorities, tasks, and small projects autonomously and efficiently.
Collaborate with cross-functional teams to gather information and assess goals, feasibility, resources, costs, and timelines.
Design, build, deploy, and monitor integration solutions.
Provide technical support and resolve issues related to Oracle Fusion Cloud application integrations.
Establish and apply best practices for integrations to ensure compatibility with upgrades and releases.
Identify risks, issues, or opportunities in existing integrations and implement improvements to enhance stability, scalability, and overall effectiveness.
Ensure the quality of development deliverables through established testing methodologies.
Maintain thorough documentation of customizations, configurations, and integrations.
Stay informed about Oracle Fusion Cloud updates, patches, and new features.
Develop and maintain roadmaps for Oracle Integration with a focus on quality and timely execution.
Continuously expand knowledge of Oracle Fusion Cloud technologies and make recommendations based on new developments in the vendor ecosystem.
Educate and mentor team members and coordinate with external partners as required.

Requirements

Bachelor's Degree in Computer Science or equivalent work experience.
Certification in Oracle Cloud Infrastructure (OCI) or Oracle Integration Cloud (OIC) – Preferred.
7+ years of software engineering experience with a focus on data integration, processing, quality, migration, and governance.
5+ years of hands-on experience with Oracle Integration Cloud and Oracle SOA Suite.
Experience with Oracle tools and technologies such as VBCS, BIP, OTBI, CMK, ADW, PL/SQL, SOAP, REST, XML, and JSON.
Knowledge of EDI.
Experience with multiple Oracle Cloud Application Suite modules (ERP, SCM, OTM, WMS, OCC, CPQ, FDI, EPM preferred).
Experience with Git, Jenkins or similar tools.
Strong communication and listening skills.
Analytical and problem-solving abilities with the capacity to lead solutions and develop roadmaps.
Flexibility to thrive in a fast-paced, dynamic environment.

Technologies

Oracle Integration Cloud (OIC)
Oracle Cloud Infrastructure (OCI)
Oracle Fusion Cloud
Oracle SOA Suite
VBCS
BIP
OTBI
CMK
ADW
PL/SQL
SOAP
REST
XML
JSON
Git
Jenkins
ERP
SCM
OTM
WMS
OCC
CPQ
FDI
EPM

Benefits

Health, Dental, and Vision insurance
Prescription Plan
401(k) with company match
Tuition Reimbursement
Disability Plan
Paid Vacation and 10 Holidays
Health Club Reimbursement
Bonus program
Wellness program

Shift

First Shift (United States of America)

Who We Are

Driven by continual innovation and trusted partnerships, ODL is a global leader in high-quality door and insulated glass solutions. For decades, our purpose has been simple: Make Your Life Better for our customers, our communities, and our people. With 14 global locations and thousands of employees, ODL has been recognized as a Great Place to Work across all countries of operation. We invest in our people, celebrate growth, and foster a culture where accountability, innovation, and excellence thrive.

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11d ago

Principal Software Engineer - AI Infra Compute

Oracle Austin, TX

Austin, TX

11d ago

Full time Ai Infrastructure API APIs

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Job Description

Oracle's OCI AI Infra Compute team in Austin, TX is seeking a Principal Software Engineer to lead the design, development, and debugging of cloud infrastructure components for AI and ML workloads, with a focus on GPU delivery, health monitoring, and automation. This role also involves guiding AI-driven initiatives and mentoring engineers.

The position sits at the intersection of cloud infrastructure and AI, driving architectural improvements and hands-on execution to keep our AI platforms scalable and reliable.

Description

OCI AI Infrastructure is building a cutting-edge, ultra high performance GPU platform to support AI/ML/HPC workloads, capable of scaling from tens to thousands of GPUs without sacrificing performance. The GPU Availability and Monitoring team within the Compute Org designs architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services to run distributed AI/ML/HPC workloads across thousands of GPUs, leveraging RoCE and Infiniband.

As a valued member of our software engineering division, you will help shape the future of our technology stack and drive meaningful improvements in cloud infrastructure and automation. In this role, you will design, develop, troubleshoot, and debug software across databases, applications, tools, networks, and other cloud infrastructure components, applying AI and ML expertise to stay ahead of the curve and collaborating with teams to deliver exceptional customer experiences.

Responsibilities

Work independently in ambiguous situations while upholding published standards and practices.
Design, develop, troubleshoot, and debug software for cloud infrastructure components, including databases, applications, tools, and networks.
Help define and evolve standard software engineering practices with a focus on AI-driven development.
Develop software for tasks associated with designing, building, and debugging applications or operating systems, leveraging AI and ML techniques.
Lead the development of critical initiatives, including:
- Design and implement spike-detection mechanisms for provisioning failures using ML to minimize disruptions.
- Expand integrations with Kafka to enable near real-time actions supporting 1-Day SLO hardware repairs, utilizing event-driven architecture and stream processing.
- Develop an automated ticket routing framework powered by NLP and ML to streamline workflows and reduce operational overhead.
- Advance dedicated initiatives through collaboration with cross-functional teams and customers, applying AI-driven insights and recommendations.
- Leverage AI/ML to create tools that automate testing, simulate environments, and reproduce incidents, enabling focus on higher-value work and improving customer outcomes.
- Collaborate and lead technical discussions across multiple teams to ensure seamless integrations and effective problem-solving.
- Provide mentorship and guidance to junior engineers to promote growth and development.

Requirements

Python
Java
TypeScript
Agile Principles
Data modeling
Data warehousing
Data governance
OCI
AWS
Azure
Google Cloud Platform (GCP)
Linux
MacOS
Bash
Perl
Ruby
Docker
RESTful APIs
API gateways
API security
Swagger/OpenAPI
Chatbots
Virtual assistants
Predictive analytics
Kafka
RoCE
Infiniband
NLP
ML

Technologies

Oracle Cloud Infrastructure (OCI)
AWS
Azure
Google Cloud Platform (GCP)
Linux
MacOS
Docker
Python
Java
TypeScript
Bash
Perl
Ruby
RESTful APIs
API gateways
API security
Swagger/OpenAPI
Kafka
RoCE
Infiniband
Data modeling
Data warehousing
Data governance
NLP
ML
Chatbots
Virtual assistants
Predictive analytics

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