We are looking for an experienced and hands-on Engineering Manager to join our data team which provides a spectrum of services and expertise to all business verticals within Gracenote. This person will collaborate with other engineering team leaders, Data Engineers, DBAs, DevOps Engineers, Security professionals and Data Science team members, to architect, build, and deploy the data platform & related solutions on which our entertainment metadata pipelines thrive and which servers our marquee customers like Amazon, Comcast, Google, Samsung, LG and Sony to name a few.
- Set a high technical standard, and guide your team to consistently achieve a high level of technical excellence through coaching, mentoring, training, and reviewing design documents and high-impact pull requests.Inspire and grow your team through thoughtful career planning and coaching. Give your team challenges to which they’re excited to rise. Provide mentorship, sponsorship, empowerment, feedback, clear expectations, and recognition of a job well done. Help the team do its best work by managing and continuously improving our SDLC and other team processes. Architect and build scalable, resilient and cost-effective software and teams to support complex data pipelines and products. Collaborate with Data Science to understand, translate, and integrate methodologies into engineering build pipelines. Partner with product owners to translate complex business requirements into technical solutions, imparting design and architecture guidance.Stay informed about the latest technologies and methodologies by participating in industry forums, having an active peer network, and engaging actively with customers. Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through teamwork.
QUALIFICATIONS & SKILLS
- Bachelor’s degree in computer science, information technology, engineering (any) , mathematics or a related field and 8+ years of progressively responsible, post-baccalaureate experience in software development . 5+ years Software Engineering experience with programming languages such as Java/Kotlin, Scala, Python and Unix Shell.Demonstrated understanding and experience with big data tools such as Kafka, Apache Spark and Trino/Presto and best practices related to data cataloging, governance and quality. You have a strong technical background and You’ve led (and ideally managed) teams that have designed and shipped high-impact, data intensive, high-value SaaS and/or enterprise software. You believe that well-structured code, comprehensive testing, and solid engineering methodology are a must. You know how to teach those values (and the requisite skills) to new engineers. Experience in developing high-level architecture design of current and future state solution based on business requirements and value propositions.Have a strong focus on delivering high quality software products and test automation.Proactive and able to deliver on initiatives that you start. Ready to roll up your sleeves and contribute along with the team as needed. Experience with orchestration tools such as Airflow.Experience with API development and best practices. Comfortable using Docker and Kubernetes for container management.DevOps experience deploying and tuning the applications you’ve built.Monitoring tools such as Datadog, Prometheus, Grafana, Cloudwatch.
