Data Engineer V

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.

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-priority projects concurrently.
• Receptive and open to ongoing feedback & training from management and team members.
• Collaborative and problem solving to achieve the highest results individually and as a team.
• Ability to work well in a team environment that promotes inclusiveness & communication among team members.
• Ability to articulate complex technical concepts to a broad audience
• Effective visionary leadership and strategic thinking capabilities.
• Effective project management and organizational skills.
• Effective ability to communicate effectively, both orally and in writing.
• Self-directed accountability and reliability
• Cultural competence.

PHYSICAL DEMANDS

The physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable employees with disabilities to perform the essential functions.

While performing the responsibilities of the job, the employee is required to remain in a stationary position most of the time (stand or sit). While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel; and talk or hear. The employee is frequently required to stand, walk and reach with hands and arms. The employee is occasionally required to stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.

OTHER REQUIREMENTS

• Candidates must successfully pass a background check.
• Candidates must be able to provide proof of eligibility to work in the United States without sponsorship.