Afterman Software · 1 hour ago
Senior Data Engineer
Afterman Software is a boutique consultancy specializing in solving complex problems on high-scale systems across various industries. They are seeking a Senior Data Engineer to design and build data pipelines, integrate multiple platforms, and deliver impactful insights to support their growing business.
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Responsibilities
Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, DBT, and Microsoft Fabric to stage and integrate data into our Enterprise Data Warehouse
Develop integration solutions between Snowflake, Salesforce, Workday, and nCino, ensuring data consistency, reliability, and compliance with business needs
Proactively identify opportunities to reduce data flow complexity and risk while proposing innovative, best-in-class solutions
Implement data engineering solutions following guiding principles and best practices when detailed requirements are unavailable
Monitor and maintain production ETL processes and resolve support issues, ensuring operational excellence and performance
Develop objects (tables, views, stored procedures, triggers) in Snowflake along with tasks to support data processes
Work with BA’s and the business to refine requirements and deliver against those requirements within the timeframe committed
Manage work tasks and update status on work tasks on ADO (Azure DevOps), communicate status and updates to management, stakeholders and peers to deliver work products on time
Qualification
Required
5–7 years of experience as a data engineer supporting enterprise data warehouse solutions
Hands-on experience with Azure Data Factory, DBT, and Microsoft Fabric for developing modern ETL/ELT pipelines
Hands-on experience with Snowflake for data warehousing and analytics
Proven experience integrating enterprise systems, particularly Salesforce and nCino
Proficient in SQL, PowerShell, and Python for data transformation and scripting
Demonstrated critical thinking mindset with the ability to independently drive end-to-end solutioning, even in the absence of detailed requirements
Strong knowledge of data governance/controls, data architecture, and data modeling principles
Excellent communication and collaboration skills to translate business requirements into scalable technical solutions
Strong analytical and problem-solving abilities, with a focus on alignment with best practices and standards
Ability to work across multiple concurrent projects in a fast-paced environment
Experience creating scalable ETL solutions using tools such as ADF, DBT, SSIS, or Microsoft Fabric
Preferred
Experience with Talend
Experience with PowerBI
Experience at banking institutions or within the financial services industry
Familiarity with Agile development methodologies and CI/CD pipelines