Bangalore, KA, India
9 days ago
Data Architect

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 sharding, 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.

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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 10 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.Working experience and deep knowledge in Big Data technologies such as ETL, ELT, Spark, Stream Processing.Hands-on experience in Python and Pyspark programming languages beside SQL/PLSQL.Experience with modern database management systems such as MongoDB, Cassandra, MySQL, and PostgreSQL, as well as experience with cloud-based databases such as Amazon RDSExperience 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 ManagerStrong 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.

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