SSM Global COE – Mexico Reporting Hub Senior Data Engineer

Sponsorship:   GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.  Work Arrangement: This position is categorized as hybrid on NIGHT SHIFT. This means the successful candidate is expected to report to the office three times per week or other frequency as dictated by the business.

The Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function. As part of the transition of GM’s software platforms to Databricks and AI platforms - the team is evolving its data reporting, data analytics and overall data management processes:

Unify existing sales reports into a single, connected view of the end-to-end sales funnel, enabling consistent tracking from customer traffic to vehicle delivery Improve sales performance by identifying conversion gaps and inventory inefficiencies and enabling faster, data-driven decisions Establish a foundation for intelligent analytics with standardized KPIs and AI-driven insights, evolving from static reporting to proactive sales management Create a unified semantic layer on Databricks / Databricks Visualizer for consistent reporting Enhance reports with drilldowns and multi-dimensional analysis Design, implement and own the Genie-based agent layer for Q&A, diagnostics, and proactive KPI-risk insights (reactive and proactive) Data Integration: Build and orchestrate ingestion using Azure Data Factory (ADF) into Databricks, including monitoring and error handling, combining all data streams into a central environment (Databricks SQL / Spark) Data Modeling & Cleansing: Create consistent, validated data models for tracking operational KPIs across the vehicle sales funnel — traffic → delivery, sales conversion, and inventory Dashboard Development: Design interactive dashboards for operational tracking/metrics and leadership executive summary, primarily on Databricks Visualizer (with Power BI where applicable) Advanced Analytics: Conduct trend, predictive, and segmentation analysis across the sales funnel (e.g., which factors drive conversion from traffic to delivery, and inventory efficiency) Process Automation: Replace manual Excel and email-based reports with automated data refreshes and self-service reporting This role combines data engineering, analytics, and visualization — ensuring data accuracy, faster insights, and scalable reporting Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription 3-5 Years in Data Engineering / Data Analytics / Data Science or related field Data governance: Hands-on experience with Unity Catalog and a governed Lakehouse (Bronze/Silver/Gold) to deliver a single source of truth Databricks: Hands-on Databricks experience (Databricks SQL / Spark) Data Ingestion & Orchestration: Experience building automated ingestion with Azure Data Factory (ADF) into Databricks, including monitoring and error handling. Strong focus on code, optimization, and modern Lakehouse architecture Source reality: Proven experience building automated ingestion from semi-structured / file-based sources (e.g., Excel and email-based feeds refreshed daily), not only querying clean relational databases Data Visualization: Proficiency in building dashboards on Databricks Visualizer (primary reporting platform). Power BI is a required skill; Databricks Genie for natural-language Q&A AI Integration: Hands-on ability to implement AI/agent-based solutions (Databricks Genie) and design proactive KPI-risk alerts Data Modeling & Integration: Experience designing data models, relationships, hierarchies, and calculated measures Database &