Key Roles and Responsibilities
Design, test, debug and document new and existing data components to ensure that software meets business, quality and operational needs
Align development teams to a shared technical direction and partners with those teams in elaborating the Solution and its interfaces
Work with portfolio stakeholders, Solution and Enterprise Architects, to develop, analyze, split, and realize the implementation of data enablers
Establish critical requirements at the solution level, and design a data platform to meet those requirements
Drive and participate in data solution reviews, mentoring team in best practices
Collaborate with peer organizations, dev ops, support organizations on technical issues and provide guidance
Interpret and translate business needs to technical requirements and accurate estimates
Evaluate and recommend tools, technologies and processes to ensure the highest quality and performance is achieved
Work with team to troubleshoot data and performance problems quickly and efficiently
Apply deep technical expertise to resolve challenging problems
Focus on scalability, security and availability of all data platforms and processes
Contribute to the design and architecture to enable secure, scalable and maintainable software
Contribute to technical roadmap and technical debt elimination, balancing time, resource, and quality constraints to achieve business and strategic goals and requirements
Design and execute processes to perform upgrades and other maintenance tasks.
Required Qualifications
Bachelors degree in Computer Science, Information Systems or related field.
6+ years of experience in working in Database, Data Management, or Engineering roles
4+ years of progressive experience in high volume/high transaction data administration
4+ years of experience managing NoSQL databases such as (Cassandra/MongoDb/CosmosDB)
4+ years of experience in performance tuning and database monitoring
Preferred Qualifications
2+ years of experience in Relational Technologies PostgreSQL, Oracle, MySQL
2+ years of experience in architecture and design of data systems using multiple data platforms
2+ years of experience in Kafka/EventHub, Redis, SOLR/ElasticStack
Proficiency in Unix/Linux command line
Expert knowledge and experience working with asynchronous message processing, stream processing and event driven computing.
Experience working within Agile/Scrum/Kanban development team
Excellent written and verbal communication skills with demonstrated ability to present complex technical information in a clear manner to peers, developers, and senior leaders
Technical Skills
Cassandra, PostGreSQL, CosmosDB, MongoDb, Oracle, Kafka/EventHub, Redis, Solr, ElasticStack, Prometheus/Grafana, Jenkins, Docker, Kubernetes
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status