Remote - Data Engineering Manager (OLTP)

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.

JOB DESCRIPTION

What does a Data Engineering Manager 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 small team of data engineers to support both new implementations in addition to supporting existing applications.

As a Data Engineering Manager, you can look forward to:

• Architecting and managing various data models associated with Relational DBs (MS SQL Server, PostgreSQL, Oracle) and NoSQL DBs (MongoDB, Cassandra, Cosmos DB, Dynamo DB or similar)
• Designing and implementing performant cloud data warehouse platforms (Redshift, Azure Databricks, SQL DW, Snowflake, or similar)
• Architecting and designing enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks
• Bringing a 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 of data engineers within the team and helps spread the knowledge across the organization
• Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, Azure Databricks etc.)
• Ensuring database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability
• Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders
• Developing the data architecture and governance models for systems of engagement and provides 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
• 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. You have deep technical skills in a variety of data-related technologies (both OLTP and Big Data) that will contribute to developing and delivering early proofs of concept and production implementation with a "cloud-first mindset". You have hands-on experience in a multitude of data domains; including, but not limited to; enterprise and cloud database infrastructure design and management, security, database design, database development, database tuning, service delivery, incident tracking, and change management.

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

Required:

• Minimum 10 years of overall software development experience
• Minimum 8 years of experience in a data engineering / architecture role
• Bachelor's degree in Computer Science, Computer Engineering or related field
• Experience with SQL Server / Oracle; proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.), designing ETL and ELT pipelines to support Enterprise Data Warehouses and Data Marts, with a strong understanding of data lake, data fabric and semantic layer design concepts
• Development experience with NoSQL DBs (MongoDB, Cassandra, Cosmos DB, Dynamo DB or similar)
• Experience in designing, developing, and deploying cloud-based solutions which leverage cloud provided platforms (Azure / AWS)
• Development experience with cloud-based data warehouse platform (Azure Databricks, Azure Synapse, AWS Redshift, Snowflake, etc.)
• Knowledge of data structures and algorithms and excellent programming skills (.NET, C#, Python and/or Java)
• 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

Preferred:

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

POSITION TYPE

Regular

PAY RANGE

The targeted base salary for this position is $106,900 to $163,400 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.

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.