Principal Database Engineer

Qualifications Bachelors and/or Masters degree in Computer Science, Computer Engineering or related field preferred 12+ years of overall software development experience required (with heavy focus on database centric development) 4+ years of hands-on development experience with combination of NoSQL DBs (Cosmos DB, MongoDB / Cassandra or similar) 1+ year of hands-on development experience with Azure Cosmos DB 2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Strong knowledge and experience in data modeling & design with relational and NoSQL DBs

Experience with RDMBS (primarily MS SQL Server and Azure SQL); proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.) that process millions of transactions daily with very high processing rates to support mission-critical databases Advanced understanding of SQL engine internals to help design and tune databases to get the optimal performance Experience building and scaling distributed, highly available systems in cloud env (Azure / AWS)

Expertise in understanding complex business needs, analyzing, designing, and developing solutions Experience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft Visual Studio Team Services, Chef, Puppet or Terraform Experience in handling structured and semi-structured data forms like JSON/XML and normalization of data structures Pluses: Financial technology domain knowledge Knowledge of SQL Server including T-SQL, the writing of complex stored procedures, optimization for performance, and SSIS packages

Experience with .NET, MVC, C# HTML5 CSS3 AJAX jQuery IIS and Java script Microsoft Azure Data Engineer or other cloud certificationResponsibilities Architecting and managing various OLTP application data models associated primarily with NoSQL DBs (Cosmos DB) and additionally Relational DBs (Azure SQL, MS SQL Server or similar)

Ensuring database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability (with millions of active accounts transacting with very high TPS) Architecting and designing enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks Designing and implementing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, etc) Defining and documenting enterprise-wide database standards, patterns & best practice for larger scale adoption for accelerated delivery around data domains

Bringing thought leadership through understanding the key business objectives and strategically providing data integration solutions to support various data domains

Clear understanding of Entity Framework concepts and database design supporting microservices architecture development patterns Ensuring data security and privacy standards are implemented, including- role-based security, encryption, tokenization, and obfuscation

Performing problem-solving of application issues and production errors, including high-level critical production issues that require immediate attention Developing the data architecture and governance models for systems of engagement and providing the framework for integrating source systems with the transactional databases and/or data warehouses;

Ensuring data architectural designs are consistent, maintainable, flexible, extensible, and cost-effective Leading and mentoring a team of data engineers by setting standards and best practices for designing and architecting cloud-based data and reporting applications