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