Posted at: 8 January

Director, Data Operations and Platform

Company

Mom's Meals

Mom's Meals is a healthcare and nutrition services provider specializing in home-delivered, medically tailored meals for seniors and individuals with chronic health conditions, operating on a B2B and B2C basis across the US.

Job Type

Full-time

Allowed Applicant Locations

Worldwide

Salary

$164,624 to $214,011 per year

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Job Description

The Director will lead the strategy, design, and operational management of the enterprise data platform and integration ecosystem. 

Salary range: $164,624-214,011 plus 20% bonus

At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.

Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.

Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) – health and dependent

Position Responsibilities may include, but not limited to

    • Define and execute the roadmap for data operations and platform capabilities, ensuring scalability, security, and compliance
    • Establish and enforce data governance standards, lineage, and cataloging using tools like Purview or Unity Catalog
    • Oversee ingestion, transformation, and consumption layers leveraging Azure Data Factory, Databricks notebooks, and dbt models
    • Implement medallion architecture (bronze, silver, gold) for structured data delivery and analytics enablement
    • Drive integration strategy using MuleSoft for application-to-application and real-time data synchronization
    • Ensure reliability, performance, and cost optimization of data pipelines
    • Implement CI/CD and DevOps practices for automated deployment and testing
    • Monitor platform health and enforce service level agreements for data availability and quality
    • Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into technical solutions
    • Mentor technical teams on best practices in ELT, modular dbt development, and cloud-native architecture

Required Skills and Experience

    • Bachelor’s degree in Computer Science, Information Systems, or related field
    • 8+ years in data engineering/operations, with at least 3 years in a leadership role
    • Proven experience with enterprise data platforms such as Azure Data Lake, Azure Synapse, Azure AI/ML, Azure Databricks, and ELT tools such as dbt
    • Strong understanding of MuleSoft for API governance and application integration
    • Expertise in healthcare data modeling techniques (star/snowflake, data vault, lakehouse) and orchestration frameworks
    • Familiarity with CI/CD pipelines, version control (Azure DevOps), and automated testing
    • Hands-on experience with data governance tools and frameworks
    • Knowledge of compliance standards (HIPAA, PCI, GDPR)
    • Strong leadership, communication, and stakeholder management skills
    • Demonstrated ability to mentor across the organization
    • Ability to translate complex technical concepts and constraints into enterprise solutions and business value, and vice versa
    • Strong collaborative development experience with ability to troubleshoot complex issues and mentor others on basic git skills and best practices
    • Agile delivery experience

Preferred Skills and Experience

    • Master’s degree
    • Advanced certifications in Azure or Databricks.
    • Experience implementing Unity Catalog, Fabric, or similar emerging technologies
    • Background in healthcare, manufacturing and logistics
    • Familiarity with AI/ML integration into data platforms and application workflows
    • Experience with cost optimization and FinOps for cloud environments

Physical Requirements

    • Repetitive motions that include the wrists, hands and/or fingers
    • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
    • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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