Data Engineer V

Description

POSITION SUMMARY

The Data Engineer V is a senior-level position responsible for contributing to and driving the overall vision and strategy for data engineering within the organization. This role involves mentoring a team of data engineers, collaborating with senior leadership to define data strategy, and ensuring the successful execution of complex data initiatives that align with the company’s goals.

ESSENTIAL FUNCTIONS

• Assists in the creation and execution of the data engineering strategy in alignment with business objectives.
• Leads the architecture, design, and deployment of large-scale data systems and solutions.
• Drives innovation in data processing and analytics, ensuring the organization remains at the forefront of data technology.
• Collaborates with senior leadership to set strategic goals for data utilization and management.
• Oversees the development and implementation of data governance frameworks.
• Ensures the scalability, reliability, and security of the data infrastructure.
• Provides leadership and mentorship to the data engineering team, fostering a culture of excellence and continuous improvement.
• Manages relationships with key stakeholders, including IT, business units, and external partners.
• Stays abreast of emerging trends and technologies in data engineering and analytics.
• Represents the organization in industry forums and conferences to promote thought leadership.
• Develops strategies for data acquisition, integration, and analysis to support business needs.
• Manages large-scale data initiatives, ensuring data quality, integrity, and security.
• Collaborates with executive leadership and various departments to align data strategies with business goals.
• Designs and implements advanced data models, databases, and data pipelines.
• Identifies and drives process improvements to enhance data reliability, efficiency, and scalability.
• Oversees the implementation of best practices in data engineering and analytics.
• Ensures compliance with data governance and data privacy regulations.
• Designs, builds, and maintains scalable and reliable data processing systems.
• Collaborates with cross-functional teams to understand data requirements and develop efficient data pipelines.
• Works with stakeholders including the Executive, Operations, and Revenue Cycle, teams to assist with data-related technical issues and support their data infrastructure needs.
• Assembles large, complex data sets that meet functional / non-functional business requirements.
• Implements data models and databases to support data storage and manipulation.
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Ensures data quality and integrity by supporting robust data validation and cleansing processes.
• Works with data and analytics experts to strive for greater functionality in our data systems.
• Stays up-to-date with the latest advancements in data engineering technologies and best practices.
• Adapts quickly to frequent process changes and improvements.
• Is reliable, engaged, and provides feedback as to improve processes and policies.
• Attends all department, team, and company meetings as required.
• Embraces and exemplifies ADS core values:
• We put our people first.
• We serve our members with passion.
• We take ownership.
• We pursue excellence.
• We never stop growing.

OTHER RESPONSIBILITIES

• May perform any additional responsibilities or special projects as required.
• Duties and responsibilities may be subject to change based upon the needs of the department.

Requirements

MINIMUM REQUIREMENTS

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 15+ years of experience in data engineering or a comparable role.
• Extensive experience in data architecture, big data technologies, and cloud platforms.
• Proven track record of leading and delivering large-scale data projects.
• Advanced proficiency in SQL and multiple data technologies.
• Demonstrated ability to lead large-scale data projects and cross-functional teams.

EXPECTED COMPETENCIES 

• Friendly, professional, and effective communications skills; able to calmly present solutions in challenging situations
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Analytical thinking with ability to recognize business needs and drive solutions to address them.
• Detail oriented and highly organized.
• Ability to multitask and work on multiple high-priori