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Principal Data Modernization Engineer

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The Muse

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Location:
United States , Irving

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Contract Type:
Not provided

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Salary:

178900.00 - 298100.00 USD / Year

Job Description:

The Principal Data Modernization Engineer is a senior technical individual contributor who provides trusted technical leadership across data modernization efforts within CoverMyMeds’ (CMM) Data Technology organization. This role operates across transactional engineering, analytical engineering, platform, and data architecture to ensure modernization initiatives are cohesive, technically sound, and aligned to long-term strategy. This role also partners closely with analytics teams to ensure the data platforms and capabilities being modernized effectively support analytical use cases and evolving business needs.

Job Responsibility:

  • Act as the Senior Director’s technical delegate for data modernization, providing trusted technical guidance across Data Technology
  • Guide and shape high-impact modernization decisions that span multiple teams or domains
  • Provide clarity and direction in complex or ambiguous modernization scenarios, enabling leaders and teams to move forward with confidence
  • Ensure key technical decisions are clearly articulated, shared, and consistently applied across Data Tech
  • Proactively identify gaps, inefficiencies, or unclear ownership in data modernization (e.g., ingestion ownership, platform responsibilities, data flow boundaries)
  • Develop a strong understanding of current-state systems, constraints, and dependencies across teams
  • Translate ambiguity into clear problem statements, decision options, and technical recommendations
  • Partner with Engineering and Architecture Directors to align on modernization approaches and technical direction
  • Bring together the appropriate leaders and senior engineers to explore options, assess trade-offs, and align on paths forward
  • Foster constructive, outcome-focused discussions that balance technical rigor with practical delivery considerations
  • Partner with analytics teams to understand analytical usage patterns, performance needs, and downstream considerations that should inform data platform and modernization decisions
  • Ensure data modernization decisions appropriately support analytics scalability, usability, and long-term analytical flexibility
  • Guide the application of data modernization patterns and approaches across transactional, analytical, platform, and modeling work, with consideration for downstream analytical consumption and performance needs
  • Help teams consistently interpret and apply data architecture standards in real-world modernization scenarios
  • Identify opportunities to simplify, standardize, or improve how modernization patterns are used across Data Tech
  • Maintain visibility into emerging modernization risks, architectural drift, or areas of growing technical debt
  • Surface insights and recommendations to leadership early, supporting informed decision-making
  • Help reduce reliance on informal heroics by promoting clear, repeatable approaches to technical decision-making

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience and typically requires 13+ years of relative experience in data engineering, data platforms or large-scale systems
  • Experience partnering with analytics or reporting teams to ensure data platforms, models and pipelines effectively support analytical workloads and evolving analytical needs
  • 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

Nice to have:

  • Experience contributing to or guiding enterprise-scale data modernization initiatives
  • Strong facilitation and communication skills
  • able to create clarity in ambiguous situations
  • Ability to balance long-term architectural thinking with practical delivery realities
  • Recognized as a trusted technical advisor to senior leaders and peers
What we offer:
  • HEALTH AND WELLNESS
  • PARENTAL BENEFITS
  • WORK FLEXIBILITY
  • OFFICE LIFE AND PERKS
  • VACATION AND TIME OFF
  • FINANCIAL AND RETIREMENT
  • PROFESSIONAL DEVELOPMENT
  • DIVERSITY AND INCLUSION

Additional Information:

Job Posted:
January 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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