Note: The job is a remote job and is open to candidates in USA. Oracle is seeking a highly experienced Principal Data Engineer with expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role focuses on designing and implementing data platforms and analytics solutions to support decision-making and operational excellence across Oracle Cloud Infrastructure.
Responsibilities
- 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
- 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
- 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
Skills
- 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 Business Intelligence 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 with the ability to communicate effectively 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, Business Intelligence, 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 technologies such as 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
Benefits
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
- 11 paid holidays
- Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
Company Overview
Company H1B Sponsorship