Director of Data Engineering
Company: Republic National Distributing Company
Location: Atlanta, GA
Summary
RNDC is looking for a talented and experienced Director Data Engineering to work in its Enterprise Information Management organization. This individual will specifically be leading a team delivering and expanding highly performant and scalable data products and platforms to drive consumption of data from RNDC’s enterprise data ecosystem, while driving data engineering best practices. The candidate will also be responsible for designing new solutions to ensure that RNDC is able to increasingly innovate with its data assets.
RNDC is seeking an experienced leader who wants to help them modernize their technology stack utilizing cloud technology, implement Agile and DevOps practices and build solid foundations in this space. This role will work closely with the company’s analytics, systems engineering, product and security teams. This leader must have the ability to attract and recruit data engineering talent, and simultaneously have the technical know-how to ensure that RNDC builds compelling, customer-oriented solutions in an iterative fashion.
Responsibilities
Own and drive the end-to-end data engineering efforts delivering high quality, scalable innovative solutions that meet the business goals, design and deliver an enterprise data catalog to improve visibility and accessibility of RNDC information.
Make strategic decisions across technology, architecture and people to enable and build the next gen data platform with modernized data management, governance and analytics capabilities.
Lead efforts to deploy new applications into AWS environments while migrating RNDC’s existing data platforms and capabilities to the cloud.
Implement and champion agile and CI/CD frameworks within the data engineering team to accelerate throughput and improve customer outcomes.
Collaborate with business teams to ensure completeness and common understanding of product vision, roadmap and requirements.
Partner with management, architects, product owners, data professionals and software and data engineers to drive the implementation of new applications as well as collaborate with internal teams to find areas of opportunity for automation and machine learning.
Lead, manage and grow a high performing team of product focused data engineers.
Build data quality and observability capabilities using modern technologies to understand data usage, patterns and improve data quality/reliability.
Qualifications
Bachelor’s degree in Computer Science, MIS or Engineering and/or commensurate years of real-world experience in software engineering.
10+ years of experience in software engineering.
5+ years of experience in data warehousing.
5+ years of experience managing and leading engineering teams.
3+ years of experience implementing cloud platforms in large organizations (AWS Preferred).
1+ year(s) of experience implementing Agile, DevOps and CI/CD frameworks.
Technologies include but are not limited to: Oracle, SQL, AWS (S3, Athena, Glue, Redshift), Snowflake, DevOps (GitHub, Jenkins, Infrastructure as Code), Erwin, MicroStrategy, XML, JSON, Rest, Python, Spark, Scala, AI/ML.
Certified Analytics Professional, AWS Certified Data Analytics or other Data/Analytics/AI/ML related certifications is a plus.
Agile and DevOps certifications is a plus.
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