Remote - Data Engineering Manager (Data Warehouse)

$106,900 - $163,400/Yr

Green Dot Corporation

Full-time - Senior

Remote

Merchant Wholesalers, Nondurable Goods

About the position

This position is for an experienced data engineering leader at Green Dot, a leading FinTech company in the US. The role involves building and leading an engineering team to deliver a transformative next-gen data platform that enhances data management and payment solutions. The ideal candidate will have a strong background in cloud data solutions and data pipeline transformation, with a focus on enterprise and cloud database infrastructure.

Responsibilities

• Architect and design enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks.
• Provide thought leadership by understanding key business objectives and strategically offering data integration solutions.
• Build a robust data engineering and architecture practice, mentoring and training data engineers within the team.
• Design and implement performant cloud data warehouse platforms (AWS Redshift, Azure Databricks, Snowflake, etc.).
• Develop and maintain data pipelines using cloud-based tools (Informatica, Azure Data Factory, Databricks, etc.).
• Create performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, etc.).
• Ensure database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.
• Deliver and present proofs of concept to project stakeholders and internal technology leaders.
• Develop data architecture and governance models for systems of engagement, integrating source systems with transactional databases and/or data warehouses.
• Ensure data architectural designs are consistent, maintainable, flexible, extensible, and cost-effective.
• Implement data security and privacy standards, including role-based security, encryption, tokenization, and obfuscation.
• Perform problem-solving of application issues and production errors, including critical production issues.

Requirements

• Bachelor's and/or master's degree in computer science, Computer Engineering, or related field preferred.
• 10+ years of overall software development experience required.
• 8+ years of experience in a data engineering development and architecture role.
• 4+ years of experience in designing, developing, and deploying cloud-based solutions (Azure / AWS).
• 3+ years of hands-on development experience with cloud-based data warehouse platforms (Redshift, Azure Databricks, Snowflake, etc.).
• 3+ years of hands-on experience with ETL tools (Informatica, Azure Data Factory, etc.).
• 1+ years of hands-on development experience working with NoSQL databases (MongoDB, Cassandra, Cosmos DB, Dynamo DB, etc.).
• 1+ years of experience managing direct reports.
• Experience designing ETL and ELT pipelines to support Enterprise Data Warehouses and Data Marts.
• Experience with SQL Server / Oracle; proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.).
• Excellent programming skills with Python.
• Demonstrated expertise in performance tuning in various data warehouse environments.

Nice-to-haves

• Experience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft Visual Studio Team Services, Chef, Puppet, or Terraform.

Benefits

• Competitive salary range of $106,900 to $163,400 per year based on qualifications and location.
• Work from Anywhere model promoting remote work flexibility.
• Diversity and inclusion initiatives.
• Reasonable accommodations for candidates on request.