Principal Database Engineer

Green Dot Corporation•Tampa, FL

5d•Hybrid

About The Position

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips. This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance. <<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTION Location Requirement This position is open only to candidates who currently reside in one of the following approved locations: New York, NY; Birmingham, AL; Miami, FL; Tampa, FL; Blue Ash or Cincinnati, OH; or Los Angeles, CA Job Summary This is an exciting opportunity for an experienced Principal Database Engineer for large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform. The ideal candidate will have a proven track record in implementing NoSQL data stores, real-time event data streaming and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation requiring high TPS (1000+ transactions/second). The successful candidate will have hands-on experience in a multitude of data domains; including but not limited to; 24 x 7 x 365 enterprise and cloud database infrastructure design and management, security, database design, database development, database tuning, service delivery, incident tracking, and change management.

Requirements

Bachelor’s and/or Master’s 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

Nice To Haves

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 certifications
Ability to work in the U.S. without sponsorship
Ability to meet the location requirement outlined above

Responsibilities

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