Principal Data Modernization Engineer guiding technical leadership across data modernization initiatives. Collaborating with analytics teams to ensure data platforms effectively support analytical use cases and evolving business needs.
Responsibilities
Act as the Senior Director’s technical delegate for data modernization
Guide and shape high-impact modernization decisions that span multiple teams or domains
Provide clarity and direction in complex or ambiguous modernization scenarios
Ensure key technical decisions are clearly articulated, shared, and consistently applied across Data Tech
Proactively identify gaps, inefficiencies, or unclear ownership in data modernization
Develop a strong understanding of current-state systems, constraints, and dependencies
Partner with Engineering and Architecture Directors to align on modernization approaches
Foster constructive, outcome-focused discussions that balance technical rigor with practical delivery considerations
Aggregate modernization risks, architectural drift, or areas of growing technical debt
Surface insights and recommendations to leadership early
Requirements
Bachelor's degree in Computer Science, Information Systems, or equivalent experience
Typically requires 13+ years of relative experience in data engineering, data platforms or large-scale systems
Experience partnering with analytics or reporting teams
Strong Technical understanding of: Transactional and analytical data systems, Data ingestion, integration, and synchronization patterns, Cloud-based data platforms, specifically Databricks, Data modeling and domain-oriented data design
Demonstrated ability to influence technical direction through credibility, collaboration and clear communication
Experience working effectively in complex, multi-team technical environments
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