Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This role focuses on designing and implementing data platforms, analytics solutions, and business intelligence capabilities to enable executive decision-making, operational excellence, customer insights, and strategic planning. The ideal candidate will combine hands-on data engineering with program leadership to deliver scalable, data-driven solutions across Oracle Cloud Infrastructure.

Responsibilities

• Design and implement data platforms, analytics solutions, and business intelligence capabilities.
• Build data pipelines and reporting frameworks.
• Drive complex cross-functional initiatives across engineering, product, operations, and executive organizations.
• Develop scalable data solutions in partnership with OCI teams.
• Establish trusted business metrics.
• Automate reporting processes.
• Lead strategic initiatives impacting product and business outcomes.
• Analyze complex datasets and translate findings into actionable business recommendations.
• Define requirements and deliver scalable data solutions in partnership with stakeholders.
• Lead large, cross-functional initiatives and drive execution across organizational boundaries.

Requirements

• BS degree or equivalent experience in Computer Science, Engineering, Information Systems, Data Science, or related field.
• 3+ 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.
• 5+ 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.

Skills

• Data Engineering
• Business Intelligence
• Analytics Platforms
• Data Pipelines
• ETL/ELT Frameworks
• Cloud-based Data Platforms
• SQL
• Data Modeling
• Data Warehousing
• Cloud Technologies
• Distributed Systems
• Software Development Lifecycles
• Spark
• Kafka
• Airflow
• Databricks
• Snowflake
• BigQuery
• OCI Data Flow
• Oracle Analytics Cloud (OAC)
• Tableau
• Power BI
• Looker
• Data Governance
• Data Quality
• Metadata Management
• Observability Frameworks
• Self-service Analytics
• Semantic Data Models

Experience Level

• Senior
• 3+ years
• 5+ years

Education Level

• BS degree or equivalent experience in Computer Science, Engineering, Information Systems, Data Science, or related field
• MS degree or equivalent experience in Computer Science, Data Engineering, Analytics, or related field

Benefits

• Flexible medical, life insurance, and retirement options.
• Volunteer programs.

About the Company

• Oracle brings together data, infrastructure, applications, and expertise to power industry innovations and life-saving care.
• Oracle embeds AI across its products and services to help customers turn promise into a better future for all.
• Oracle is leading the way in AI and cloud solutions that impact billions of lives.

Equal Opportunity

• Oracle is committed to growing a workforce that promotes opportunities for all.
• We’re committed to including people with disabilities at all stages of the employment process.
• Oracle is an Equal Employment Opportunity Employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
• Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.