What success looks like in this role:
Design and implement complex database solutions using modern database technologies such as NoSQL, NewSQL, Graph databases, and cloud databases to support our organization's needs.
• Develop and maintain database architecture and standards for our organization, including implementing best practices for data management, data governance, and data security.
• Collaborate with development teams to ensure that database designs are optimized for performance and scalability, and implement strategies such as sharing, partitioning, and caching.
• Develop data models and database schemas to support business requirements, using techniques such as entity-relationship modeling, data normalization, and data denormalization.
• Develop strategies for data backup, recovery, and security, using technologies such as replication, failover, and encryption.
• Monitor and tune database performance to ensure optimal system performance, using tools such as profiling, tracing, and monitoring.
• Develop and maintain database documentation, including data dictionaries, data lineage, and data quality.
• Evaluate new database technologies and tools and make recommendations for their adoption, including evaluating cloud-based database services, data warehousing solutions, and big data technologies.
• Work closely with system administrators to ensure that database systems are properly configured and maintained, including managing database security, access controls, and capacity planning.
#LI-SS1
You will be successful in this role if you have:
Bachelor's or Master's degree in Computer Science or a related field.
• At least 5 years of experience in database architecture and design, with experience in modern database technologies.
• Expertise in database design, data modeling, and schema development.
• Strong knowledge of SQL and other database query languages, as well as experience with modern query languages such as GraphQL.
• Experience with modern database management systems such as MongoDB, Cassandra, MySQL, and PostgreSQL, as well as experience with cloud-based databases such as Amazon RDS
• Experience with data backup, recovery, and security strategies, including experience with backup and restore solutions such as AWS Backup, and security solutions such as AWS Secrets Manager
• Strong analytical and problem-solving skills, as well as experience with data analytics and machine learning technologies.
• Excellent communication and interpersonal skills, as well as experience working in cross-functional teams.
• Ability to work effectively in a fast-paced, agile development environment, and experience with DevOps practices and tools such as Docker, Kubernetes, and Jenkins.
• Knowledge of BI tools, preferably PowerBI, or similar tools would be desirable.
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.
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