Über
Join a team that powers enterprise decision-making through trusted data. As a Software Engineering Senior Advisor, you will design and sustain scalable data solutions that enable analytics, reporting, and strategic insights across the organization. This role is ideal for an experienced engineer who thrives on solving complex data challenges, ensuring operational stability, and contributing to a modern, high-quality enterprise data ecosystem. Responsibilities
Design and evolve a conformed enterprise data warehouse that delivers reliable, accessible data for analytics and business intelligence. Develop scalable, high-quality SQL and software solutions aligned to technical designs and business outcomes. Enable seamless ingestion and processing of foundational and operational data, including integration from POS systems and mainframe platforms. Proactively identify and resolve data gaps, job failures, and processing issues using established recovery processes to minimize downstream impact. Provide hands-on production support for batch operations, partnering with PSO and cross-functional teams to ensure timely resolution and system stability. Validate and ensure the accuracy, integrity, and completeness of enterprise data assets through testing and quality checks. Build and optimize batch job workflows, ensuring efficient execution and operational reliability. Contribute to enterprise data initiatives that drive actionable insights and business value. Create clear and concise technical artifacts, including design documents, implementation plans, DB change requests, and test cases. Support UAT activities, resolving data-related issues to ensure successful delivery. Implement and maintain mainframe deployment processes aligned with enterprise standards and controls. Collaborate with App Data and Integration (DBX) teams to ensure data alignment with enterprise models. Enable modern integrations by implementing Teradata Foreign Tables for Databricks connectivity. Conduct source-to-target analysis, schema management, and controlled mainframe releases. Participate in peer code reviews, contributing to a culture of quality and continuous improvement. Required Qualifications
5+ years of experience in software engineering, data engineering, or a related technical role. Proven experience building and supporting enterprise-scale data solutions and pipelines. Strong experience developing Teradata SQL scripts and executing via BTEQ / BTQMAIN. Hands-on experience preparing and executing database change requests (DBCRs). Experience supporting UAT and developing test cases to validate data and functionality. Practical experience with mainframe and data technologies, including: COBOL, JCL, REXX FILEAID, FILEMASTER BTEQ, FASTLOAD, MULTILOAD, XPORT Endevor, DFSORT, ICETOOL NDM, FTP, SFTP Experience troubleshooting and supporting batch processing environments. Preferred Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field. Experience within large-scale healthcare or financial data environments. Familiarity with tools such as ALM, HPSD/HPSM, XPEDITOR, and enterprise batch systems. Experience working in regulated, data-intensive environments. Strong collaboration skills with the ability to partner across technical and business teams. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 130,200 - 217,000 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan.
Sprachkenntnisse
- English
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