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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # data warehouse developer of large-scale data solutions - **Company:** Green Dot Corporation - **Location:** Los Angeles, United States (Remote available) - **Experience:** Expert - **Salary:** $139,900.0 - $199,300.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Databases, Computer Engineering, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mart, Data Warehousing, Database Queries, Issue Tracking Systems, Data Intelligence, Python (Programming Language), PostgreSQL, Unix Shell, Metadata Repositories, Microsoft SQL Server, MongoDB, Online Analytical Processing, NoSQL, Operational Data Store, Oracle (Applications), Performance Tuning, Cloud Services, Software Engineering, SQL Stored Procedures, SQL Databases, SQL Server Integration Services, Data Streaming, Batch Scripting, Scripting, Informatica Powercenter, Snowflake, Build Management, Data Lakes, Semi-structured Data, Information Technology, Data Lineage, Cassandra, Apache Kafka, Cosmos DB, Data Management, Amazon Redshift, Databricks - **Published:** November 4, 2026 - **Apply:** https://startup.jobs/lead-data-warehouse-engineer-green-dot-corporation-10659194 ## About the Role The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of data warehouse related technologies to play an important role in developing and delivering early proofs of concept and production implementation. 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 data warehouse and reporting solutions and management, design and build data warehouse models, ETL development, performance tuning, service delivery, incident tracking, and change management., * Bachelor's and/or Master's degree in Computer Science, Computer Engineering or related field preferred * 8+ years of overall software development experience is required primarily with Data warehouse and Business Intelligence applications. * 8+ years of hands-on development experience in Cloud-based data warehouse platform - combination of Azure/AWS Databricks, AWS Redshift, Snowflake or similar * 8+ years of development experience with Informatica IDMC platform including data integration, Data Quality, Data Governance * 5+ years of hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle, etc.); experience with complex stored procedures and functions using SQL, optimization of SSIS packages and Redshift database queries. * 5+ years of development experience with Python, windows batch scripting or Unix Shell scripting. * Strong knowledge and experience in OLAP data modeling & design * Demonstrated expertise in performance tuning in various DB environments with large volumes of data. * Experience building and scaling distributed, high available systems in cloud env (Azure / AWS) * Expertise in understanding complex business needs, analyzing, designing, and developing solutions. * Communication and professional skills and the ability to navigate relationships across business units. Pluses: * Financial technology domain knowledge * Knowledge of NoSQL DBs (MongoDB / Cassandra / Azure Cosmos DB or similar) * Microsoft Azure Data Engineer or other cloud certifications ## Description This is an exciting opportunity for an experienced senior data warehouse developer of large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform., * Architecting and maintaining the Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories * Designing and implementing performance data movement pipelines using multiple ETL tools with batch and real-time event data streams (Informatica, Databricks, Apache Kafka, Azure Event Hub, SQL Packages, etc.) * Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks * Gathering business and information requirements from various product owners across various functional units * Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models. * Conducting design review sessions and communicating design artifacts with stakeholders. * Creating source to Target data mappings including multi step transformations * Ensures database features and capabilities are incorporated into data model designs and ETL pipelines 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 scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks * Leading and coordinating the design and operationalization of Master Data Management, Data Quality & Data Governance initiatives including end to end data lineage * Working with other members of the project team to support delivery of additional project components associated with cloud data platforms. * Problem-solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention. * Perform other duties as assigned including major new project initiatives.