Principal Engineering Program Manager

As a Principal Engineering Program Manager (EPM/TPM), you will be responsible for leading enterprise-scale Data Engineering, Analytics, and Platform Modernization programs. You will own end-to-end program delivery for complex data initiatives involving Azure Data Factory (ADF), Databricks, Microsoft Fabric, Azure Synapse, Snowflake, Power BI, and Streamlit-based data applications. Your role will involve partnering closely with Data Engineering, Analytics, Cloud, Security, Product, and Business stakeholders to drive predictable execution, manage cross-team dependencies, mitigate risks, and ensure delivery of scalable, reliable, and business-ready data platforms. Key Responsibilities: - Drive end-to-end data engineering and analytics programs from planning through execution and closure - Establish program governance, operating cadence, dependency tracking, and executive decision forums - Manage dependencies across data engineering, analytics, cloud platform, security, product, and business teams - Own program plans, milestones, risks, issues, mitigations, and executive communications - Prepare and present status, risks, metrics, and outcomes to senior and executive leadership - Balance platform reliability, scalability, cost, and data quality with engineering velocity and business priorities Data Engineering & Platform Responsibilities: - Lead delivery of modern data platform initiatives including cloud-based data ingestion, transformation, and serving layers - Partner with engineering teams to deliver solutions using Azure Data Factory (ADF), Databricks, Azure Synapse, Snowflake, and Microsoft Fabric components - Ensure data pipelines are scalable, resilient, observable, and cost-efficient - Drive adoption of data engineering best practices across testing, CI/CD, monitoring, documentation, and lineage Analytics, BI & Data Consumption: - Drive Power BI platform and analytics enablement programs - Partner with analytics and business teams to enable self-service BI and trusted reporting - Support development and rollout of data applications and analytical tools using Streamlit - Act as a bridge between data producers and data consumers to ensure usability, adoption, and measurable business impact - Define and track value realization metrics for analytics and BI initiatives Migrations & Modernization: - Lead legacy-to-cloud data platform migrations - Proactively identify and mitigate data correctness, performance, and business continuity risks during migrations Cloud, Governance & Risk: - Manage data programs in Azure-first and hybrid cloud environments - Partner with security, privacy, and governance teams to ensure data access controls and compliance with internal standards and regulatory requirements - Track and reduce data quality issues, pipeline failures, SLA breaches, and platform risks Required Qualifications: - 10+ years of experience in Program Management / Technical Program Management / Engineering Program Management - Strong understanding of modern data engineering and analytics architectures - Proven experience delivering enterprise-scale data platform programs - Hands-on familiarity with Azure Data Factory (ADF), Databricks, Azure Synapse, Snowflake, Microsoft Fabric, Power BI - Excellent stakeholder management and executive communication skills - Experience working with distributed, global engineering and analytics teams Preferred / Nice-to-Have: - Experience with Streamlit or data application frameworks - Familiarity with data observability, lineage, and governance tooling - Certifications such as PMP, SAFe, Azure Data / Analytics certifications Success in This Role Looks Like: - Predictable delivery of complex, multi-platform data programs - Stable, scalable, and cost-efficient Azure-based data platforms - High adoption of Power BI and analytics assets by business users - Clear executive visibility into program health, risks, and outcomes - Strong trust and partnership with engineering, analytics, and business leadership As a Principal Engineering Program Manager (EPM/TPM), you will be responsible for leading enterprise-scale Data Engineering, Analytics, and Platform Modernization programs. You will own end-to-end program delivery for complex data initiatives involving Azure Data Factory (ADF), Databricks, Microsoft Fabric, Azure Synapse, Snowflake, Power BI, and Streamlit-based data applications. Your role will involve partnering closely with Data Engineering, Analytics, Cloud, Security, Product, and Business stakeholders to drive predictable execution, manage cross-team dependencies, mitigate risks, and ensure delivery of scalable, reliable, and business-ready data platforms. Key Responsibilities: - Drive end-to-end data engineering and analytics programs from planning through execution and closure - Establish program governance, operating cadence, dependency tracking, and executive decision forums - Manage dependencies across data engineering, analytics, cloud platform, security, pro