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Mindex

Data Architect

Mindex

Data Architect designing high-performance data architectures and solutions for cloud and hybrid systems. Collaborating with data teams and business stakeholders to implement effective data strategies.

Posted 5/29/2026full-timeRemote • New York • 🇺🇸 United StatesSeniorLead💰 $120,000 - $173,000 per yearWebsite

Tech Stack

Tools & technologies
AnsibleAzureCloudPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact
  • Design and implement scalable, high-performance data architectures across cloud and hybrid environments
  • Define and enforce data modeling standards, including conceptual, logical, and physical data models
  • Build and optimize enterprise data pipelines and data integration frameworks to support analytics and operational use cases
  • Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services
  • Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into robust data solutions
  • Establish and maintain data governance, data quality, and metadata management frameworks
  • Ensure data privacy, security, and compliance requirements are met across all platforms and pipelines
  • Lead architecture decisions for data storage solutions including data lakes, data warehouses, and real-time data processing systems
  • Optimize performance and cost efficiency of data platforms and workloads
  • Support Agile delivery frameworks and contribute to sprint planning, backlog grooming, and architectural roadmaps
  • Implement and oversee CI/CD pipelines and infrastructure-as-code practices for data solutions
  • Evaluate emerging technologies and recommend solutions to enhance data capabilities

Requirements

What you’ll need
  • BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required
  • 8+ years of progressive experience in data engineering, data architecture, or related disciplines, including enterprise-scale data solution design
  • 5+ years of hands-on experience designing and implementing modern data platforms using technologies such as Snowflake, Databricks, Spark, or similar distributed data systems
  • Strong experience (5+ years) in Python, SQL, PySpark, R, or comparable languages for large-scale data processing and analytics
  • Proven experience architecting, building, and optimizing complex data pipelines, data ecosystems, and large, multi-source data environments
  • 3+ years of experience designing and supporting cloud-based data architectures, with a strong preference for Microsoft Azure (e.g., Azure Data Factory, Data Lake, Databricks, Spark, Azure ML, Cosmos DB)
  • Demonstrated experience leading or influencing architecture decisions and establishing standards for scalable, secure, and high-performing data solutions
  • Experience implementing data governance, data security, privacy, and compliance frameworks in enterprise environments
  • Hands-on experience with Agile methodologies and leading technical design within Agile delivery teams
  • Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform, ARM, GitHub Actions, Ansible Tower), including establishing automation and deployment standards
  • Experience integrating enterprise systems and platforms, including Salesforce FSC and/or Salesforce Data Cloud
  • Proven ability to mentor engineering teams and influence technical strategy, best practices, and architectural direction

Benefits

Comp & perks
  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage

ATS Keywords

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Hard Skills & Tools
data architecturedata modelingdata pipelinesdata integrationdata governancedata qualitydata privacydata securityPythonSQL
Soft Skills
collaborationleadershipcommunicationmentoringinfluencingproblem-solvingorganizational skillsAgile methodologiestechnical designstrategic thinking
Certifications
BS degree in Computer ScienceBS degree in Data ScienceBS degree in Engineering