Masco
Data Engineering Leader
US - Michigan - Livonia · Senior · Full-time
Sponsorship not specified$104k-$163kDetected 4 hours ago
PythonData StructuresSQLDatabricksAzureCloud PlatformsCI/CDDevOpsAPI DevelopmentRESTMachine LearningData AnalysisData EngineeringMLOpsIncident ResponseAgileBudgetingUnityLeadershipCommunicationCollaboration
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33Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
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About the role
- Skills & Competencies - Player-coach mindset.
Responsibilities
- Lead, coach, and manage a team of Data Engineers, including performance guidance and prioritization.
- Coordinate onshore and offshore engineering capacity, serving as the technical lead for offshore engineering resources and the bridge back to onshore leads.
- Own the build and operation of ingestion pipelines across retailer, HQ, and BU data sources on the Databricks and Azure data stack.
- Contribute directly as a senior engineer on critical-path pipelines, Lakehouse design, and modeling work.
- Partner with the Architect to build the ingestion side of the attribution crosswalk and master data foundations to the documented spec.
- Own intake, triage, and resolution of pipeline incidents and data issues raised by BU and HQ consumers.
- Serve as a delivery-side extension of the Enterprise Data Architect, advising on ingestion patterns, Lakehouse design, and platform decisions.
- Own documentation standards for pipelines, ingestion patterns, operational runbooks, credentials management, incident response, and release management.
- Ensure engineers document changes to metrics, pipelines, and data flows as part of the definition of done.
- Substantial hands-on experience designing and building scalable data engineering solutions on a major cloud platform, with emphasis on the Azure ecosystem.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field
- Proven experience in a data engineering leadership role, including managing engineers and delivery accountability.
- Experience coordinating onshore and offshore engineering delivery.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field; equivalent professional experience considered.
Nice to have
- Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.
- Experience with Databricks Unity Catalog, data lineage, and observability tools.
- Experience with PowerBI.
- Familiarity with ML/AI integration ( MLflow, Azure ML) and DataOps / MLOps practices.
- Experience with RESTful API development for data acquisition.
- Familiarity with modern DataOps, Agile, or Kanban delivery practices.
- The Company makes employment decisions only based on merit.
- The Company is committed to complying with all applicable laws providing equal employment opportunities.
Skills
- Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services).
- Deep working knowledge of the medallion architecture (bronze / silver / gold) for structuring Lakehouse solutions.
- Understanding of and experience with Microsoft Fabric, including how it fits alongside Databricks in a modern enterprise data platform.
- Strong proficiency in Python for data engineering.
- Working knowledge of distributed processing and Lakehouse principles.
- Solid understanding of CI/CD, DevOps, and automation for data workflows.
- Strong understanding of Kimball dimensional modeling and enterprise semantic layers.
- Understanding of data governance, security, and compliance as they apply to enterprise data engineering.
- Skills & Competencies
- Delivery-driven. Owns commitments, SLAs, and follow-through.
- Willingness to explore and understand new and modern data tools to add value to the enterprise POS and POS-related engineering space.
- Collaborative with BU data engineering counterparts for cross-learning and consistent practice.
Compensation
- Hiring Range: $103,700.00 - $163,020.00 USD
Benefits
- Own monitoring, alerting, and operational health of pipelines, credentials, and source integrations.
- Stay connected to BU data engineering counterparts for collaboration, cross-learning, and consistent enterprise practice.
Company info
- Hiring Range: $103,700.00 - $163,020.00 USD
- Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
- Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position.
- It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law.
- E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.
- Please click on the following links for more information.
- E-Verify Participation Poster: English & Spanish
- E-verify Right to Work Poster: English, Spanish
- Recommend cost optimization actions such as right-sizing, workload tuning, and storage tiering as part of ongoing platform operations.
This listing is sourced directly from Masco's careers page and normalized into a canonical job model.