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Data Architect
MindexData 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 & technologiesAnsibleAzureCloudPySparkPythonSparkSQLTerraform
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