SSM Global COE – Senior Data Engineer
General Motors
SSM Global COE – Senior Data Engineer
Job Description
Job DescriptionSponsorship: 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 RoleThe 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:What You'll DoUnify existing sales reports into a single, connected view of the end-to-end sales funnel, enabling consistent tracking from customer traffic to vehicle deliveryImprove sales performance by identifying conversion gaps and inventory inefficiencies and enabling faster, data-driven decisionsEstablish a foundation for intelligent analytics with standardized KPIs and AI-driven insights, evolving from static reporting to proactive sales managementCreate a unified semantic layer on Databricks / Databricks Visualizer for consistent reportingEnhance reports with drilldowns and multi-dimensional analysisDesign, 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 inventoryDashboard 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 reportingThis role combines data engineering, analytics, and visualization — ensuring data accuracy, faster insights, and scalable reportingYour Skills & Abilities (Required Qualifications)Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription3-5 Years in Data Engineering / Data Analytics / Data Science or related fieldData governance: Hands-on experience with Unity Catalog and a governed Lakehouse (Bronze/Silver/Gold) to deliver a single source of truthDatabricks: 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 architectureSource 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 databasesData Visualization: Proficiency in building dashboards on Databricks Visualizer (primary reporting platform). Power BI is a required skill; Databricks Genie for natural-language Q&AAI Integration: Hands-on ability to implement AI/agent-based solutions (Databricks Genie) and design proactive KPI-risk alertsData Modeling & Integration: Experience designing data models, relationships, hierarchies, and calculated measuresDatabase & Querying: Strong SQL skills; ability to query large datasetsData Preparation: Data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plusReporting Automation: Ability to automate refresh schedules, pipelines, and alerts for reportsStatistical & Analytical Skills: Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plusWhat Will Give You A Competitive Edge (Preferred Qualifications)Ability to think critically, solve problems, make decisions and build trust across the organizationAbility to guide team on multiple tasks and deliver results with aggressive timelinesExcellent interpersonal skills, as well as excellent communication skills, verbal and writtenDemonstrate self-motivation and the ability to grasp concepts quicklyEmbrace data driven & customer insights to inform plans, launches, and iterationsHighly proficient in oral and written communication skills Background on emerging technological advancements such as AIStrong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of qualityDemonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situationsDesire to work in a complex and evolving environment and to bring an innovation mindsetComfort working in a fast-paced start-up technology environment is essentialStrong computer software skills, Google Workspace / Google Office experience is a plusGiven expected interaction with Mexico site - ability to speak Spanish is a plus but not required
About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Non-Discrimination and Equal Employment OpportunitiesGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Locations
- Philippines, National Capital Region (Manila), Taguig City
Skills Required
- Unity Catalogintermediate
- automated ingestion with Azure Data Factoryintermediate
- building dashboards on Databricks Visualizerintermediate
- Pythonintermediate
- oralintermediate
Required Qualifications
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription (degree in data science)
- 3-5 Years in Data Engineering / Data Analytics / Data Science or related field (experience, 5 years)
- Data governance: Hands-on experience with Unity Catalog and a governed Lakehouse (Bronze/Silver/Gold) to deliver a single source of truth (experience)
- Databricks: Hands-on Databricks experience (Databricks SQL / Spark) (experience)
- 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 (experience)
- 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 (experience)
- 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 (experience)
- AI Integration: Hands-on ability to implement AI/agent-based solutions (Databricks Genie) and design proactive KPI-risk alerts (experience)
- Data Modeling & Integration: Experience designing data models, relationships, hierarchies, and calculated measures (experience)
- Database & Querying: Strong SQL skills; ability to query large datasets (experience)
- Data Preparation: Data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plus (experience)
- Reporting Automation: Ability to automate refresh schedules, pipelines, and alerts for reports (experience)
- Statistical & Analytical Skills: Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus (experience)
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription (degree in data science)
- 3-5 Years in Data Engineering / Data Analytics / Data Science or related field (experience, 5 years)
- Data governance: Hands-on experience with Unity Catalog and a governed Lakehouse (Bronze/Silver/Gold) to deliver a single source of truth (experience)
- Databricks: Hands-on Databricks experience (Databricks SQL / Spark) (experience)
- 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 (experience)
- 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 (experience)
- 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 (experience)
- AI Integration: Hands-on ability to implement AI/agent-based solutions (Databricks Genie) and design proactive KPI-risk alerts (experience)
- Data Modeling & Integration: Experience designing data models, relationships, hierarchies, and calculated measures (experience)
- Database & Querying: Strong SQL skills; ability to query large datasets (experience)
- Data Preparation: Data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plus (experience)
- Reporting Automation: Ability to automate refresh schedules, pipelines, and alerts for reports (experience)
- Statistical & Analytical Skills: Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus (experience)
Preferred Qualifications
- Ability to think critically, solve problems, make decisions and build trust across the organization (experience)
- Ability to guide team on multiple tasks and deliver results with aggressive timelines (experience)
- Excellent interpersonal skills, as well as excellent communication skills, verbal and written (experience)
- Demonstrate self-motivation and the ability to grasp concepts quickly (experience)
- Embrace data driven & customer insights to inform plans, launches, and iterations (experience)
- Highly proficient in oral and written communication skills (experience)
- Background on emerging technological advancements such as AI (experience)
- Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality (experience)
- Demonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situations (experience)
- Desire to work in a complex and evolving environment and to bring an innovation mindset (experience)
- Comfort working in a fast-paced start-up technology environment is essential (experience)
- Strong computer software skills, Google Workspace / Google Office experience is a plus (experience)
- Given expected interaction with Mexico site - ability to speak Spanish is a plus but not required (experience)
- Ability to think critically, solve problems, make decisions and build trust across the organization (experience)
- Ability to guide team on multiple tasks and deliver results with aggressive timelines (experience)
- Excellent interpersonal skills, as well as excellent communication skills, verbal and written (experience)
- Demonstrate self-motivation and the ability to grasp concepts quickly (experience)
- Embrace data driven & customer insights to inform plans, launches, and iterations (experience)
- Highly proficient in oral and written communication skills (experience)
- Background on emerging technological advancements such as AI (experience)
- Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality (experience)
- Demonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situations (experience)
- Desire to work in a complex and evolving environment and to bring an innovation mindset (experience)
- Comfort working in a fast-paced start-up technology environment is essential (experience)
- Strong computer software skills, Google Workspace / Google Office experience is a plus (experience)
- Given expected interaction with Mexico site - ability to speak Spanish is a plus but not required (experience)
Responsibilities
- 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
- 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
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