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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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6d ago

Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

6d ago

$124k - $280k/yr Full time Manager Senior Analytics

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Job Description

An onsite opportunity within PwC's Technology Consulting practice in Miami, this Senior Data Engineer - Senior Manager will lead data engineering initiatives, using data and analytics to deliver strategic client insights while guiding teams to tackle complex problems. The role offers a salary range of USD 124,000 to 280,000 per year and requires a bachelor’s degree along with at least six years of experience.

Responsibilities

Develop innovative solutions to improve business performance and create competitive differentiation, including roadmaps to guide initiatives
Apply advanced analytics techniques to support client operations and strategic goals, incorporating AWS data engineering and Redshift
Design, build, and maintain data pipelines and architectures to power business intelligence efforts using DataStage and ETL processes
Implement data visualization capabilities to deliver actionable insights for client outcomes, leveraging SQL Server and DB2
Collaborate with stakeholders to identify data challenges and opportunities, aligning work with managed services and service level agreements
Coach and motivate teams to solve complex problems and deliver high-quality results
Apply systems thinking to uncover underlying issues and opportunities within client projects, including workload orchestration and scheduling
Validate outcomes with clients and incorporate feedback to refine solutions, with focus on CSAT and performance tuning
Guide teams through ambiguous and challenging situations with composure and sound judgment

Requirements

Bachelor’s degree or higher
Minimum of 6 years of relevant experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for study in fields such as Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, and related combinations with Accounting or Finance
Demonstrated expertise in data architecture development and data pipeline management
Proficiency in Python and Java for complex data analysis and visualization
Strong experience with business intelligence tools like QlikView and Oracle BI
Ability to lead strategic questioning and engage stakeholders effectively
Applied systems thinking to identify root causes and opportunities in data projects
Proven track record of directing teams through complex and ambiguous situations

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23d ago

Managed Services - Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Montpelier, VT

Montpelier, VT

23d ago

$124k - $280k/yr Full time Manager Senior Analytics

Apply Now

Job Description

Senior Data Engineer - Senior Manager role at PwC delivering innovative data engineering solutions and analytics to drive client success, while leading and coaching teams in Montpelier, VT (onsite).

Responsibilities

Design and implement data driven solutions to boost business performance and strengthen competitive positioning, including roadmap development and solution optimization
Apply advanced analytics techniques to support client operations and strategic objectives, leveraging AWS data engineering and Redshift
Create and maintain data pipelines and architectures to power business intelligence efforts using DataStage and ETL
Deploy data visualization tools to deliver actionable insights and improve client outcomes, with SQL Server and DB2
Collaborate with stakeholders to identify data challenges and opportunities within managed services and SLAs
Coach and motivate teams to tackle complex problems and deliver high quality results
Apply systems thinking to diagnose underlying problems and opportunities in client projects, including workload orchestration and scheduling
Validate outcomes with clients and incorporate feedback to refine solutions, tracking CSAT and performance improvements
Lead teams through ambiguous and challenging situations with composure and sound judgment

Requirements

Bachelor's degree or higher
Minimum of 6 years of relevant experience

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Compensation

USD 124,000 - 280,000 per year

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

What Sets You Apart

Preference for study areas such as Computer and Information Science, Economics, Engineering, or related fields
Proven ability to develop data architectures and manage data pipelines at scale
Experience using Python and Java for complex data analysis and visualization
Strong background with business intelligence tools like QlikView and Oracle BI
Experience leading strategic questioning and stakeholder engagement initiatives
Applied systems thinking to identify root causes and opportunities
Ability to direct teams through complex and ambiguous situations

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