Data Engineer

• Translate Instacart’s data strategy into an actionable multi-year architecture roadmap and align it with leadership.
• Own the open lakehouse foundation, including unified table formats, storage governance, and multi-engine compute.
• Drive real-time and streaming infrastructure for Ads, Fraud, and ML use cases.
• Apply LLM/AI tools to development, automation, observability, and cost optimization, and help embed AI capabilities into the platform.
• Lead architecture reviews, mentor senior/staff engineers, influence hiring, and communicate technical trade-offs across technical and executive audiences.

Staff engineer building Instacart’s governed lakehouse and distributed data infrastructure

Staff Software Engineer, Data Governance – Foundations

Staff engineer shaping Instacart’s open lakehouse, governance, and distributed compute platform. Driving streaming infrastructure, AI-native tooling, reliability, and cost efficiency at scale.

• Design, build, and maintain scalable Lakehouse and data warehouse solutions on Microsoft Fabric and Azure Synapse
• Develop, optimize, and deploy ETL/ELT pipelines and reusable frameworks for integrating diverse data sources
• Implement data quality, validation, and transformation logic
• Establish data engineering best practices for coding standards, governance, performance, and automation
• Document models, pipelines, and operational runbooks
• Develop and optimize dimensional and semantic models for BI and analytics
• Integrate diverse source systems into the enterprise data warehouse
• Ensure workloads are scalable, reliable, performant, and secure
• Tune SQL, Spark jobs, and pipeline performance
• Implement monitoring, alerting, and operational practices
• Respond to production incidents, troubleshoot root causes, and implement solutions
• Identify gaps, propose improvements, and drive work to completion
• Implement API integrations and services
• Translate stakeholder requirements into Lakehouse and warehouse solutions
• Communicate progress, risks, and tradeoffs to technical and non-technical audiences
• Work within Agile/Scrum practices, including planning, estimation, and demos
• Collaborate across onshore and offshore teams
• Conduct and participate in code reviews

Data Engineer building Microsoft Fabric Lakehouse platforms for behavioral health technology company

Data Engineer, Microsoft Fabric

Data Engineer building Microsoft Fabric Lakehouse and Azure data platforms for a behavioral health technology company. Delivering scalable pipelines, models, integrations, and production data operations.

• Lead, mentor, and grow a team of Data Migration and Integration professionals
• Deliver enterprise-scale healthcare information technology and Enterprise Imaging implementations across North America
• Establish and continuously improve standardized delivery methodologies, governance, and best practices
• Partner with Project Management, Engineering, Clinical Consulting, Customer Success, Technical Services, and external implementation partners
• Build and manage strategic relationships with third-party implementation partners
• Develop scalable partner onboarding, training, and quality frameworks
• Drive resource planning, capacity management, key performance indicators, technical leadership, and customer engagement
• Support complex implementations and executive-level communications
• Help healthcare organizations modernize imaging environments and improve patient care

Philips health technology leader delivering healthcare data migration and Enterprise Imaging implementations across North America

Senior Manager, Data Migration and Integration

Philips health technology leader overseeing healthcare data migration and Enterprise Imaging implementations across North America.
Leading teams, partners, governance, and technical delivery to modernize healthcare imaging environments.

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Staff Software Engineer, Data Governance – Foundations

Data Engineer, Microsoft Fabric

Senior Manager, Data Migration and Integration