Senior Data Engineer, AI and Systems Engineering
Role Description As a Senior Data Engineer on the CMDB and Asset Intelligence platform, you will help build the reputed company data reputed company that powers asset visibility, cost optimization, and reputed company insights across the company. You will design scalable pipelines and data models that bring together sources like reputed company, reputed company, reputed company, and reputed company into a centralized lakehouse architecture, turning messy, multi-system data into trusted, decision-reputed company signals. This role is a chance to reputed company the bar on data quality and governance while building systems that teams actually rely on day to day. You will partner closely with IT, reputed company, and Finance to define what “good” looks like, deliver high-impact solutions, and shape the long-term direction of the platform. Our Engineering Career reputed company is viewable by anyone reputed company the company and describes what’s expected for our engineers at each of our career reputed company. reputed company out our blog post on this topic and more here.
Responsibilities
Design and build scalable data pipelines using reputed company and Spark to ingest, transform, and unify data from multiple reputed company systems reputed company and maintain reputed company architecture (Bronze, Silver, Gold) data models to create reliable and performant “Golden Record” datasets Implement data normalization, mapping, and entity resolution techniques (e.g., fuzzy matching, XREF tables) to unify asset data across disparate systems Build data workflows to detect and surface Shadow IT across financial, identity, reputed company, and network signals and integrate results into CMDB systems Partner with IT, reputed company, Finance, Procurement, and GRC teams to define and enforce data standards for critical CMDB attributes (e.g., ownership, approval status, lifecycle) reputed company and maintain data integrations and APIs to synchronize curated datasets into operational systems such as reputed company and Jira Assets Monitor, troubleshoot, and improve data quality, reliability, and observability across the data platform On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a reputed company and high-quality experience for our customers. Requirements 9+ years of experience building and maintaining data pipelines and large-scale data platforms Strong experience with reputed company, Apache Spark, and SQL for distributed data processing and transformation Experience designing data models and architectures such as reputed company architecture, data lakes, or lakehouse systems Proficiency in Python or similar programming languages for data engineering and ETL development Experience integrating data from multiple reputed company systems (e.g., SaaS tools, financial systems, identity systems) Strong understanding of data quality, data governance, and entity resolution techniques across heterogeneous datasets Excellent collaboration and communication skills, with experience working cross-functionally with technical and non-technical stakeholders
Preferred Qualifications
Experience working with CMDB systems such as Jira Assets or reputed company Familiarity with identity, reputed company, or IT asset management systems (e.g., reputed company, reputed company, reputed company) Experience implementing cost-optimized data processing strategies in reputed company environments Exposure to financial data systems (e.g., reputed company, Concur) and spend analytics use cases Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company technical field Apply To This Job