Metadata Manager Jobs in Oklahoma (NOW HIRING)

JOB INFORMATION

• Job Title: Data Engineer Senior
• Job Code: 130059
• Job Grade: 58

JOB SUMMARY

Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts, and evaluates business functions, operations, processes, and information to develop or modify databases, data models, application systems, analytical tools, or reports in support of business objectives. Serves as a primary interface between the business and IT regarding definition, implementation, and support of IT provided services. Included in this are providing continuous communication; eliciting and documenting requirements; and negotiating, setting and managing Service Levels. Ensures that the levels of IT service delivery are defined and achieved, both for existing and new services in accordance with the agreed targets.

LEVEL OF RESPONSIBILITY

• Complex responsibilities related to primary focus of job area. Uses best practices and in-depth business knowledge to solve complex problems and improve products or services. May adapt procedures, processes and techniques to meet the more complex requirements of position.

ESSENTIAL FUNCTIONS

• Collaborates directly with business and technology stakeholders to understand business capabilities & requirements.
• Serves as a technical resource for peers and vendor partners; may assist with complex technical tasks.
• Supports the translation of business requirements into data architecture components under guidance from Lead Data Engineers or principal engineers.
• Provides input to business stakeholders to help address technical aspects of business issues. Reviews and provides feedback on design documents from vendors/partners.
• Assists in analyzing the current technology environment to detect critical deficiencies and recommend solutions for improvement under the guidance of the Lead/Specialist Data Engineer.
• Designs, implements, and maintains data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques.
• Works with DevSecOps to enable continuous integration and continuous deployment for data pipelines that include automated unit & integration testing.
• Facilitates meetings and provides solutions for complex projects using business acumen.
• Supports rapid feedback loops to improve project delivery and resolve production issues.
• Provides guidance and support to offshore team members as needed. Maintains awareness of emerging technologies and contributes to discussions on system upgrades.
• Participates in incident management and on-call rotations using established troubleshooting procedures.
• Supports for agile practices to increase delivery throughput.
• Performs root cause analysis on various bugs or defects through troubleshooting systems.
• Responsible for creating, maintaining, and ensuring consistency with published development standards, and contributes to their improvement.
• Plans and prioritizes assignments with guidance from Lead or Principal Engineers.
• Serves as a source of expertise on reporting systems and data sources.
• Writes functional business requirements, implementation plans, documentation, and procedures, leveraging attention to detail.
• All other duties as assigned.

REQUIREMENTS

• Bachelor's Degree in Business, Marketing, Information Technology, Computer Science, Engineering, or other related technical discipline, and 5 years experience as a Developer, System Administrator, QA Engineer/Tester, Systems Analyst, Business Analyst, OR;
• High School Diploma/GED and 6 years experience as a Developer, System Administrator, QA Engineer/Tester, Systems Analyst, Business Analyst, or related technical discipline.

Preferred Experience:

SAP Datasphere & Enterprise Data Architecture

• Experience leading the architecture, design, and implementation of enterprise data and analytics solutions using SAP Datasphere, SAP Analytics Cloud (SAC), and related SAP technologies.
• Proven ability to design and develop scalable data models, business semantic layers, and analytical data products within SAP Datasphere.
• Experience building end-to-end data integration solutions across SAP and non-SAP platforms to enable unified enterprise analytics.
• Strong understanding of semantic modeling, including dimensions, facts, hierarchies, measures, and business-aligned data structures.
• Demonstrated expertise in establishing and enforcing standards for data governance, data quality, metadata management, lineage, and cataloging.
• Experience optimizing Datasphere environments for performance, scalability, security, and reliability.

Data Modeling & Advanced SQL

• Advanced proficiency in SQL, data modeling, and data transformation techniques.
• Experience developing and optimizing SQL-based and graphical data models for complex analytical workloads.

SAP Analytics Cloud (SAC)

• Experience designing and developing enterprise dashboards, reporting solutions, planning models, and executive scorecards using SAP Analytics Cloud.
• Ability to translate business requirements into scalable analytical models, KPIs, dashboards, and reporting solutions.

Preferred Technical Skills

• SAP Datasphere (required preferred expertise)
• SAP Analytics Cloud (SAC)
• Advanced SQL
• Enterprise Data Modeling

WORKING CONDITIONS

• Office environment using computer equipment including a keyboard, mouse and computer monitor.
• Sedentary to light work exerting up to 20 pounds of force occasionally, and/or a negligible amount of force frequently to lift, carry, push, pull or otherwise move objects.
• Subject to normal office noise levels.
• May be required to work non-standard hours.
• May be required to work in a remote, virtual environment.

PHYSICAL DEMANDS - LIFTING AND OTHER WEIGHT REQMTS

General Requirements
• Rarely:Pushing
• Rarely:Pulling
• Rarely:Climbing
• Rarely:Balancing
• Rarely:Stooping
• Rarely:Kneeling
• Rarely:Crouching
• Rarely:Crawling
• Rarely:Reaching
• Rarely:Handling
• Rarely:Grasping
• Rarely:Feeling
• Rarely:Repetitive Motions
• Rarely:Eye/Hand/Foot Coordination
• Occasionally:Standing
• Occasionally:Walking
• Frequently:Sitting
• Frequently:Talking
• Constantly:Hearing

SPECIAL SAFETY REQUIREMENTS

• Member will not be required to drive in order to perform their job duties.
• Member is not required to perform any safety sensitive duties.

KNOWLEDGE, SKILLS AND ABILITIES (KSAS)

• Strong technical, quantitative, and qualitative analysis skills.
• Ability to collaborate effectively and contribute to team success.
• Demonstrated ability to work on agile teams delivering data solutions.
• Ability to solve moderately complex problems using established solutions and frameworks.
• Demonstrates the ability to learn new technologies and apply them within data engineering solutions.
• Proven strong organizational and time management skills.
• Working knowledge of the organization, processes, and customers.
• Demonstrates the ability to synthesize, analyze, and summarize data using established business principles and data engineering practices to support informed decision-making.
• Collaborates effectively with individuals across diverse roles and backgrounds, while remaining open to feedback to enhance technical outcomes and team performance.
• Demonstrated self-motivation and proactive attitude.
• Demonstrated ability to investigate and analyze information and draw conclusions.
• Engages with vendor partners to support delivery and provide technical feedback.
• Solid ability to consistently maintain a high level of integrity and discretion to handle confidential information.
• Proven ability to effectively communicate with team members and leadership.

HEALTH AND SAFETY (MEDICAL/DOT REQUIREMENTS)

• Pre-Employment Drug Screen

SALARY RANGE

$96,262 - $128,357