Remote - Director, Database Engineering

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.

At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.

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JOB DESCRIPTION

What does a Director of Database Engineering do at Green Dot?

You will have a chance to build and lead an engineering team delivering a transformative next-gen data platform that enables faster, secure & efficient data solutions.  You will lead and manage a team of data engineers to support both new implementations and existing applications. Your primary responsibility will be architecting, designing and optimizing mission-critical database technologies (RDMBS and NoSQL) to build highly performant applications. This is NOT a Data Warehouse (or BI/Analytics/ML&AI) focused leadership role, so keep that in mind before applying.

As a Data Engineering technology leader, you can look forward to:

• Architecting and managing various OLTP application data models associated with Relational DBs (MS SQL Server, Azure SQL, PostgreSQL or similar) and NoSQL DBs (Cosmos DB, Cassandra 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

• 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

• Building a robust data engineering and architecture practice, dedicating time to mentoring and training data engineers within the team, and helping spread the knowledge across the organization

• Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, Azure Databricks etc.)

• Delivering and presenting proofs of concept of key technology components to project stakeholders and internal technology leaders

• 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

• 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

• Leading and mentoring a team of data engineers by setting standards and best practices for designing and architecting cloud-based data and reporting applications

You might be the right match for this role if you:

Have a proven track record in implementing next-gen cloud data solutions and transformation data pipelines for large-scale organizations with a primary focus on mission-critical database technologies (RDMBS and NoSQL). You have great technical skills in a variety of data-related technologies that will contribute to developing and delivering early proofs of concept and production implementation with a “cloud-first mindset.” You have hands-on experience working with high-transaction processing customer-facing applications that process more than tens of millions of transactions daily. 

Ready to join us in our mission?  These are the qualifications we are looking for:

Required:

• Minimum 14 years of overall software development experience

• Minimum 12 years of experience in a data engineering/architecture role

• Minimum 4 years of experience in a people management role

• Bachelor’s degree in computer science, Computer Engineering or a related field

• 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

• Development experience with NoSQL DBs (Cassandra, Cosmos DB, Dynamo DB or similar)

• Experience in designing, developing, and deploying cloud-based solutions that leverage cloud provided platforms (Azure / AWS)

• Demonstrated expertise in performance tuning in various DB environments with large volume and velocity of data

• 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

• Understanding of OLTP and OLAP applications

Nice to Have:

• Development experience with cloud-based data warehouse platforms (Azure Databricks, Azure Synapse, AWS Redshift, Snowflake, etc.)

• Experience with ETL tools such as Informatica, ADF, or SSIS

POSITION TYPE

PAY RANGE

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Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.