About Gracenote :

Gracenote is the top provider of entertainment information, creating

industry-leading databases of TV, movie, and music metadata for entertainment

guides, applications and in-car entertainment. Our technology serves billions of

requests daily to hundreds of millions of devices around the world. Our

customers include innovators like Apple, Twitter, Google, Spotify, M-GO and

Hulu, top consumer electronics and cable companies, and leading automotive

manufacturers such as Ford and Toyota, throughout the US and the world.

Simply put, data provides you with an opportunity to impact the evolution of the

entire entertainment industry.

Purpose:

As a senior DBA, your role is to own the databases in our data pipeline and the

data governance of our Data Strategy. Our Data Strategy underpins our suite of

Client-facing Applications, Data Science activities, Operational Tools and

Business Analytics.

Responsibilities:

● Architect and build scalable, resilient and cost-effective data storage

solutions to support complex data pipelines.

● The architecture has two facets: Storage and Compute. The DBA is

responsible for designing and maintaining the different tiers of the data

storage, including (but not limited to) archival, long-term persistent

storage, transactional and reporting storage.

● Design, implement and maintain various data pipelines such as

self-service ingestion tools, exports to application-specific warehouses,

and indexing activities.

● The senior DBA is responsible for data modeling, as well as designing,

implementing and maintaining various data catalogs, to support data

transformation and product requirements.

● Configure and deploy databases on AWS cloud, ensuring optimal

performance and scalability.

● Monitor database activities for compliance and security purposes.

● Set up and manage backup and recovery strategies for cloud databases

ensuring availability and quality.

● Monitor database performance metrics and identify areas for optimisation.

● Create scripts for database configuration and provisioning.

● 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.

● Provide expert mentorship to project teams on technology strategy,

cultivating advanced skill sets in software engineering and modern SDLC.

● 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.

Must Haves:

● Experience with languages such as ANSI SQL, TSQL, PL/pgSQL,

PLSQL, plus database design, normalization, server tuning, and query

plan optimization.

● 6+ years of professional DBA experience with large datastores including

HA and DR planning and support.

● Software Engineering experience with programming languages such as

Java, Scala, and Python.

● Demonstrated understanding and experience with big data tools such as

Kafka, Spark and Trino/Presto

● Experience with orchestration tools such as Airflow

● 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.