Remote - Data Engineering Manager (Data Warehouse)

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

Summary 

This is an exciting opportunity for an experienced data engineering leader for one of the leading FinTech company of US - #1 in Debit cards in retail (US). Our mission is to deliver trusted, best-in-class money management & payment solutions to our customers & partners, seamlessly connecting people to their money. You will build and lead an engineering team delivering a transformative next-gen data platform that enables faster, secure & efficient data solutions. 

The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation data pipelines for large scale organizations “cloud-first” mindset. We are seeking someone with deep technical skills in a variety of data warehouse and data management related technologies to play an important role in developing and delivering early proofs of concept and production. The successful candidate will 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. The candidate will lead and supervise a small team of data engineers to support both new implementations in addition to supporting existing applications. 

Responsibilities 

• Architect and design enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks 

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

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

• Designing and implementing performant cloud data warehouse platforms (AWS Redshift, Azure Databricks, Snowflake, or similar) 

• Developing and maintaining data pipelines using cloud-based tools (Informatica, Azure Data Factory, Databricks etc.) 

• Developin