Associate Director, Data Engineering

Title: Associate Director, Data Engineering
Location: Alpharetta, GA
Terms of Hire: Full Time
Salary: $Open + Benefits

Job Description:
As Associate Director - Data Engineering, you will be responsible for building and managing a high-performing Data Engineering team. You will implement the data management strategy and execute database engineering solutions for the organization. You should have a strong technical background and a passion for managing engineering teams while helping team members grow in their careers. You will be responsible for executing data engineering, data lake, and analytics projects, ensuring close coordination with software development and product management teams. This role involves balancing multiple priorities and resource allocation based on the most important tasks, focusing on performance and scalability. Expertise with high-performance systems or service design is a plus. The ability to translate high-level technical requirements into executable project plans is essential.

Responsibilities:

1. Manage and lead database engineering resources across multiple functions (Database Application Development, Data Warehousing, Business Intelligence reporting, operational data management, database administration) in an Agile environment.
2. Establish data governance practices for managing various types of data, including personally identifiable information (PII).
3. Establish a unified database engineering methodology across database engineering functions.
4. Develop strong working relationships across the organization to identify and vet database engineering priorities based on key business requirements.
5. Promote professional development of database engineering staff and play an active role in the talent acquisition process.
6. Foster a culture of teamwork and collaboration within the database engineering function and across the organization.
7. Define the quality assurance and testing strategy, leading teams that perform automated and manual testing.
8. Act as a senior technical subject matter expert for applications and development.
9. Lead the development of strategy, risk management, productivity, and quality management within areas of responsibility.
10. Provide vision, direction, and leadership to teams providing first-line client support.
11. Improve engineering practices to increase velocity, productivity, and developer satisfaction.
12. Assist the recruiting team with the continued growth of the engineering team.

Job Requirements:

1. Bachelor's or Master's degree in Computer Science or related field required.
2. 5-10 years of experience leading database engineering teams.
3. 10+ years of experience with detailed knowledge of data warehouse technical architectures and infrastructure components.
4. 5+ years of work experience managing large data warehousing environments.
5. 3+ years of Python development experience.
6. 2+ years’ experience in Big Data stack environments (EMR, Hadoop, Glue, Hive).
7. Experience with various Business Intelligence reporting tools (e.g., Tableau).
8. Previous experience as a Database Engineer.
9. Working knowledge of building out data marts, data warehouses, and data lakes.
10. Demonstrated abilities to lead and positively influence teams.
11. Proven track record of recruiting, hiring, and retaining technical talent.
12. Comfortable leading in a fast-growing and changing organization.
13. Strong critical thinking and analytical abilities.
14. Strong organizational and problem-solving skills.
15. Strong verbal and written communication skills.

Minimum Qualifications:

1. Bachelor's Degree.
2. Typically a minimum of 8 years of related professional experience.
3. A minimum of 3-4 years experience in a supervisory position.

You Will Enjoy:

• An opportunity to be part of a great culture, an awesome team, and a challenging work environment!
• Apply today to learn more and be part of our growth story.

All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.

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