Oracle Corporation

Senior Manager, Platform Software Engineering

Oracle Corporation$141K — $306K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data infrastructure or data governance
  • Strong knowledge of data governance policies and compliance standards
  • Proficient in designing and implementing scalable data solutions
  • Experience with ETL processes and data pipeline architecture
  • Demonstrated ability to manage cross-functional teams and projects
  • Excellent analytical and problem-solving skills
  • Strong communication and collaboration skills across technical and non-technical teams

Responsibilities

  • Lead cross-team efforts to build and optimize data processing infrastructure
  • Oversee the implementation of data governance policies for handling and retaining data
  • Coordinate the development of robust data validation and quality assurance processes
  • Design and develop automated, scalable data pipeline architectures
  • Ensure adherence to data privacy laws and industry compliance standards
  • Manage and prioritize multiple projects across teams to meet business objectives
  • Foster a culture of continuous improvement and technical excellence across data teams

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Short and long term disability coverage
  • 401(k) plan with company matching contributions
  • Flexible vacation policy and paid time off
  • Paid holidays and sick leave with rollover options
  • Paid parental leave and adoption assistance
  • Employee Stock Purchase Plan and financial planning assistance
Full Job Description
Job Description

Champions cross-team efforts to build data infrastructure to optimize data processing from a variety of data sources. Oversees the implementation of data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, and reliability. Coordinates cross-team efforts to implement rigorous data validation and integrity checks, anticipating and proactively mitigating data quality issues. Oversees the implementation of data storage solutions to store the processed data to be used in a scalable, optimized, and efficient way for access and analysis. Champions cross-team collaboration in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, cost effective, and reliable.

Responsibilities

Key Responsibilities

Data Processing & Pipelining - Data Requirements, Collection, and Infrastructure:
  • Proactively identifies data requirements and business objectives of business critical and/or complex projects and/or initiatives.
  • Champions cross-team efforts to build data infrastructure to optimize data processing from a variety of data sources.
  • Oversees cross-team collaboration to analyze, design, and troubleshoot data flows based on business needs, identifying interdependencies across teams.
  • Prioritizes work streams with other teams and product management.
  • Holds accountability for the quality and availability of the service.
  • Coordinates cross-team efforts to develop data collection processes that involve indexing and query optimizations for optimal performance.

Data Processing & Pipelining - Data Governance:
  • Oversees the implementations of data governance policies and procedures for data handling (e.g., data retention) to ensure data consistency, integrity, accuracy, and reliability throughout the data lifecycle.
  • Leads the redaction processes for Personally Identifiable Information (PII) and Protected Health Information (PHI) data, ensuring compliance with data privacy and security standards.
  • Ensures cross-team data compliance with relevant laws, regulations, and industry standards.

Data Processing & Pipelining - Data Validation & Quality Assurance:
  • Supports cross-team efforts to implement rigorous data validation and integrity checks, anticipating and proactively mitigating data quality issues that could impact data pipeline and model performance.
  • Coordinates cross-team efforts to establish and drive organizational knowledge of data annotation and labeling processes to ensure data quality, leveraging best practices.
  • Supports cross-functional team understanding of and adherence to data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction.
  • Leads multiple teams in proactively identifying and resolving data quality and infrastructure issues.

Data Pipeline and Solutions Engineering - Pipeline Design:
  • Champions cross-team efforts to design, develop and optimize automated, scalable, and efficient data pipeline architectures using Extract, Transform, and Load (ETL) processes to build reusable data products.
  • Oversees team to implement data storage solutions to store the processed data to be used in a scalable, optimized, and efficient way for access and analysis.
  • Coordinates team efforts to manage the flow of data pipeline and storage day-to-day operations.

Data Pipeline and Solutions Engineering - Data Solutions Engineering:
  • Champions cross-team collaboration in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, cost effective, and reliable.
  • Coordinates team efforts to write runnable code and automation tests and perform testing and debugging of data solutions.
  • Drives the evaluation and adoption of new technologies by aligning efforts across teams with broader data platform strategies.
  • Enforces adherence to coding standards and engineering best practices across teams, fostering a culture of technical excellence and continuous improvement through coaching and regular reviews.
  • Oversees the development of documentation, ensuring clear design decisions and collaboration with architecture and cross-functional stakeholders.

Core Responsibilities

Planning & Execution:
  • Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets when applicable are monitored and met.
  • Provides direction to teams on project work, setting priorities, and aligning with business needs.
  • Guides teams on adjusting plans to accommodate resource or timeline changes.

Collaboration & Partnership:
  • Drives cross-functional partnerships to align expectations and shared objectives across multiple teams.
  • Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success.
  • Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.

Problem Solving:
  • Provides direction to multiple teams on addressing complex operational and/or technical issues as well as providing guidance on analyzing complex data and/or information to identify solutions.
  • Reviews and provides insights into unresolved or critical issues, helping the team to identify potential solutions.

Continuous Learning:
  • Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning.
  • Leverages feedback to drive personal and team skill improvements.
  • Identifies skill gaps across teams, and empowers team members to pursue learning and knowledge sharing opportunities that build their expertise in new areas and coaches them to apply learnings to advance the organization.

Continuous Improvement:
  • Drives team to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight.
  • Guides team to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement.

Performance and Development:
  • Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations.
  • Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals.
  • Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources.


Qualifications

US: Hiring Range in USD from: $141,100 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - M3

About Oracle Corporation

Oracle Dyn Global Business Unit is a pioneer in managed DNS and a leader in cloud-based infrastructure that connects users with digital content and experiences across a global internet. Dyn's solution is powered by a global network that drives 40 billion traffic optimization decisions daily for more than 3,500 enterprise customers, including preeminent digital brands such as Netflix, Twitter, Linkedin and CNBC. Adding Dyn's best-in-class DNS and email services extend the Oracle cloud computing platform and provides enterprise customers with a one-stop shop for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). On January 31, 2017 Oracle completed the acquisition of Dyn, which now operates as an Oracle Infrastructure-as-a-Service (IaaS) global business unit (GBU).

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Join Oracle Corporation—Where Careers Grow

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Learn more about Oracle Corporation
Size
143,000 employees
Market Cap
$217.3 billion
Industry
Net Income
$12.8 billion
Founded
1977
5 Year Trend
+2.3%
Revenue
$39.6 billion
NASDAQ

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