Data Engineering Leader

Summary   The Data Engineering Leader owns the delivery, quality, and operational health of Masco's enterprise data engineering capability. Reporting to the Enterprise Data Architect, this role leads a team of Data Engineers building and   operating   the ingestion, transformation, and Lakehouse solutions that power enterprise POS and adjacent commercial data. This is a hands-on technical leader who codes alongside the team, holds engineers accountable to project plans and SLAs, and provides architectural support to the Enterprise Data Architect on ingestion patterns, pipeline design, and platform decisions. The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for   accurate ,   timely   analytics   delivery.

Engineering Team Leadership & Delivery Accountability   Lead, coach, and manage a team of Data Engineers, including performance guidance and prioritization.   Hold the team accountable   to   project plans, sprint commitments, and quality expectations.   Coordinate onshore and offshore engineering capacity, serving as the technical lead for offshore engineering resources and the bridge back to onshore leads.   Sequence sprint delivery against the priority roadmap and requirements set by the Enterprise Data Architect, Technical Product Owner, and Business Data Analyst.   Ingestion, Pipeline & Data Platform Build   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.   Enforce data-validation gates for completeness, outliers, and consistency before data reaches enrichment.   Incident Management, Release Management & Operational SLAs   Own intake, triage, and resolution of pipeline incidents and data issues raised by BU and HQ consumers.   Own release management for engineering enhancements, requests, and projects, including development operations, sprint execution, deadlines, and delivery of the business value defined by the Business Data Analyst and Technical Product Owner.   Establish and adhere to SLAs for incident response, resolution, and communication back to consumers.   Own monitoring, alerting, and operational health of pipelines, credentials, and source integrations.   Escalate issues that touch the enterprise model, masters, or attribution to the Enterprise Data Architect.   Cloud Cost & Consumption Management   Monitor cloud storage, compute, and consumption of enterprise data platforms, and track related costs.   Contribute   to budgeting for cloud, data services, and engineering tools, informed by consumption trends and workload forecasts.   Recommend cost optimization actions such as right-sizing, workload tuning, and storage tiering as part of ongoing platform operations.   Architecture Support & Analytics Delivery Enablement   Serve as a delivery-side extension of the Enterprise Data Architect, advising on ingestion patterns, Lakehouse design, and platform decisions.   Enforce enterprise standards for data engineering, integration, and data quality in all work delivered by the team.   Work closely with the BI Delivery Leader to ensure enterprise data structures, models, and metric definitions are in place for   accurate   and   timely   analytics delivery.   Stay connected to BU data engineering counterparts for collaboration, cross-learning, and consistent enterprise practice.   Documentation & Knowledge Management   Establish and   enforce how   engineering   documentation works   across the team, in partnership with the Enterprise Data Architect.   Own documentation standards for pipelines, ingestion patterns, operational runbooks,